| Harmonic Analysis - Lecture 7 - S. R. Srinivasa Varadhan(New York University) |
| Harmonic Analysis - Lecture 6 - S. R. Srinivasa Varadhan(New York University) |
| Harmonic Analysis - Lecture 5 - S. R. Srinivasa Varadhan(New York University) |
| Harmonic Analysis - Lecture 4 - S. R. Srinivasa Varadhan(New York University) |
| Harmonic Analysis - Lecture 3 - S. R. Srinivasa Varadhan(New York University) |
| Harmonic Analysis - Lecture 2 - S. R. Srinivasa Varadhan(New York University) |
| Harmonic Analysis - Lecture 1 - S. R. Srinivasa Varadhan(New York University) |
| Harmonic Analysis - Lecture 0 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 13 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 12 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 11 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 10 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 9 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 8 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 7 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 6 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 5 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 3&4 - S. R. Srinivasa Varadhan(New York University) |
| stochastic processes - Lecture 1&2 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 18 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 17 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 16 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 15 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 14 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 13 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 12 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 11 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 10 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 9 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 8 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 7 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 6 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 5 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 4 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 3 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 2 - S. R. Srinivasa Varadhan(New York University) |
| Calculus II - Lecture 1 - S. R. Srinivasa Varadhan(New York University) |
| Large Deviations - Lecture 11 - S. R. Srinivasa Varadhan(New York University) |
| Large Deviations - Lecture 10 - S. R. Srinivasa Varadhan(New York University) |
| Large Deviations - Lecture 9 - S. R. Srinivasa Varadhan(New York University) |
| Large Deviations - Lecture 8 - S. R. Srinivasa Varadhan(New York University) |
| Large Deviations - Lecture 5,6&7 - S. R. Srinivasa Varadhan(New York University) |
| Large Deviations - Lecture 3&4 - S. R. Srinivasa Varadhan(New York University) |
| Large Deviations - Lecture 1&2 - S. R. Srinivasa Varadhan(New York University) |
| Multilevel Compression of Linear Operators - Mark Tygert(New York University) |
| Discrete Mathematics - Lecture 18 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 17 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 16 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 15 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 14 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 13 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 12 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 11 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 10 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 9 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 8 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 7 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 6 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 5 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 4 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 3 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 2 - Kiryl Tsishchanka(New York University) |
| Discrete Mathematics - Lecture 1 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 31 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 30 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 29 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 28 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 27 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 26 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 25 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 24 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 23 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 22 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 21 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 20 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 19 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 18 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 17 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 16 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 15 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 14 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 13 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 12 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 11 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 10 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 9 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 8 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 7 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 6 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 5 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 4 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 3 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 2 - Kiryl Tsishchanka(New York University) |
| Abstract Algebra - Lecture 1 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 32 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 31 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 30 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 29 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 28 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 27 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 26 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 25 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 24 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 23 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 22 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 21 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 20 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 19 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 18 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 17 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 16 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 15 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 14 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 13 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 12 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 11 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 10 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 9 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 8 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 7 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 6 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 5 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 4 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 3 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 2 - Kiryl Tsishchanka(New York University) |
| Linear Algebra - Lecture 1 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 14 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 13 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 12 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 11 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 10 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 9 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 8 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 7 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 6 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 5 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 4 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 3 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 2 - Kiryl Tsishchanka(New York University) |
| Calculus II - Lecture 1 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 20 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 19 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 18 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 17 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 16 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 15 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 14 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 13 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 12 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 11 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 10 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 9 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 8 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 7 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 6 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 5 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 4 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 3 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 2 - Kiryl Tsishchanka(New York University) |
| Calculus I - Lecture 1 - Kiryl Tsishchanka(New York University) |
| Number theory - Quadratic and cubic fields - Yuri Tschinkel(New York University) |
| Number theory - L-functions - Yuri Tschinkel(New York University) |
| Number theory - Prime Number Theorem - Yuri Tschinkel(New York University) |
| Number theory - Riemann zeta function: zeroes - Yuri Tschinkel(New York University) |
| Number theory - p-adic measures - Yuri Tschinkel(New York University) |
| Number theory - Riemann zeta function - Yuri Tschinkel(New York University) |
| Number theory - p-adic analysis II - Yuri Tschinkel(New York University) |
| Number theory - p-adic analysis I - Yuri Tschinkel(New York University) |
| Number theory - p-adic numbers - Yuri Tschinkel(New York University) |
| Number theory - Quadratic reciprocity - Yuri Tschinkel(New York University) |
| Number theory - Elementary number theory - Yuri Tschinkel(New York University) |
| Number theory - Introduction - Yuri Tschinkel(New York University) |
| Random Graphs - Class 13 - Joel Spencer(New York University) |
| Random Graphs - Class 12 - Joel Spencer(New York University) |
| Random Graphs - Class 11 - Joel Spencer(New York University) |
| Random Graphs - Class 10 - Joel Spencer(New York University) |
| Random Graphs - Class 9 - Joel Spencer(New York University) |
| Random Graphs - Class 8 - Joel Spencer(New York University) |
| Random Graphs - Class 7 - Joel Spencer(New York University) |
| Random Graphs - Class 6 - Joel Spencer(New York University) |
| Random Graphs - Class 5 - Joel Spencer(New York University) |
| Random Graphs - Class 4 - Joel Spencer(New York University) |
| Random Graphs - Class 3 - Joel Spencer(New York University) |
| Random Graphs - Class 2 - Joel Spencer(New York University) |
| Random Graphs - Class 1 - Joel Spencer(New York University) |
| Algebra 1 - Lecture6 - Assaf Naor(New York University) |
| Algebra 1 - Lecture5 - Assaf Naor(New York University) |
| Algebra 1 - Lecture4 - Assaf Naor(New York University) |
| Algebra 1 - Lecture3 - Assaf Naor(New York University) |
| Algebra 1 - Lecture2 - Assaf Naor(New York University) |
| Algebra 1 - Lecture1 - Assaf Naor(New York University) |
| Topics in Computational Biology - Lecture3 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture2 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture1 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture12 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture11 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture10 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture9 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture8 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture7 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture6 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture5 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture4 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture3 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture2 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture1 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture11 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture10 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture9 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture8 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture7 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture6 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture5 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture4 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture3 - Bhubaneswar Mishra(New York University) |
| Topics in Computational Biology - Lecture1 & 2 - Bhubaneswar Mishra(New York University) |
| SYSTEMS BIOLOGY - Lecture4 - Bhubaneswar Mishra(New York University) |
| SYSTEMS BIOLOGY - Lecture3 - Bhubaneswar Mishra(New York University) |
| SYSTEMS BIOLOGY - Lecture2 - Bhubaneswar Mishra(New York University) |
| SYSTEMS BIOLOGY - Lecture1 - Bhubaneswar Mishra(New York University) |
| Model Checking - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture8 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture7 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture6 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture5 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture4 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture3 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture1 & 2 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture0 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture11 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture9 & 10 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture7 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture6 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture5 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture4 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture3 - Bhubaneswar Mishra(New York University) |
| Computational Biology - Lecture2 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture11 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture10 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture9 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture8 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture7 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture6 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture5 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture4 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture3 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture2 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture1 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture25 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture24 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture23 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture22 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture21 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture20 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture19 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture18 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture17 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture16 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture15 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture14 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture13 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture12 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture11 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture10 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture9 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture8 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture7 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture6 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture5 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture4 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture3 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture2 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture1 - Bhubaneswar Mishra(New York University) |
| Programming Languages - Lecture0 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture14 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture13 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture12 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture11 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture10 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture9 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture8 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture7 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture6 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture5 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture4 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture3 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture2 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture1 - Bhubaneswar Mishra(New York University) |
| BIOINFORMATICS - Lecture6 - Bhubaneswar Mishra(New York University) |
| BIOINFORMATICS - Lecture5 - Bhubaneswar Mishra(New York University) |
| BIOINFORMATICS - Lecture4 - Bhubaneswar Mishra(New York University) |
| BIOINFORMATICS - Lecture3 - Bhubaneswar Mishra(New York University) |
| BIOINFORMATICS - Lecture2 - Bhubaneswar Mishra(New York University) |
| BIOINFORMATICS - Lecture1 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture10 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture9 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture8 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture7 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture6 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture5 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture4 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture3 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture2 - Bhubaneswar Mishra(New York University) |
| Computational Systems Biology - Lecture1 - Bhubaneswar Mishra(New York University) |
| Math Finance II - 10. Affine term structure models - Marco Avellaneda(New York University) |
| Math Finance II - 9. Heath-Jarrow-Morton thm and forward rate correlations
- Marco Avellaneda(New York University) |
| Math Finance II - 8. Basic term structure concepts - Marco Avellaneda(New York University) |
| Math Finance II - 7. Trinomial trees and finite-difference schemes - Marco Avellaneda(New York University) |
| Math Finance II - 6. Uncertain Volatility Model & worst-case scenario pricing - Marco Avellaneda(New York University) |
| Math Finance II - 5. Valuation of derivative securities - Marco Avellaneda(New York University) |
| Math Finance II - 4. Continuous-time finance: an introduction - Marco Avellaneda(New York University) |
| Math Finance II - 3. Ito processes, continuous-time martingales and Girsanov\'s Theorem (revised) - Marco Avellaneda(New York University) |
| Math Finance II - 2. Brownian Motion and Ito Calculus. - Marco Avellaneda(New York University) |
| Math Finance II - 1. Syllabus - Marco Avellaneda(New York University) |
| Math Finance I - Exotic Options, I ( Digitals and barrier options) - Marco Avellaneda(New York University) |
| Math Finance I - Binomial Models for interest rate derivatives - Marco Avellaneda(New York University) |
| Math Finance I - American style options, early exercise and time optionality - Marco Avellaneda(New York University) |
| Math Finance I - Refinements of the binomial model and applications - Marco Avellaneda(New York University) |
| Math Finance I - Analysis of the Black-Scholes Formula - Marco Avellaneda(New York University) |
| Math Finance I - The binomial option pricing model - Marco Avellaneda(New York University) |
| Math Finance - Arbitrage Pricing Theory - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture13 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture12 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture11 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture10 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture9 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture8 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture6 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture5 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture4 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture3 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture2 - Marco Avellaneda(New York University) |
| Quantitative Investment Strategies - Lecture1 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture12 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture11 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture10 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture9 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture8 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture7 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture6 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture5 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture4 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture3 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture2 - Marco Avellaneda(New York University) |
| Stochastic Calculus - Lecture1 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture11 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture10 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture9 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture8 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture7 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture6 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture5 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture4 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture3 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture2 - Marco Avellaneda(New York University) |
| Risk and Portfolio Management - Lecture1 - Marco Avellaneda(New York University) |
| Stein\'s method and applications - Lecture18 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture17 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture16 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture15 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture14 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture13 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture12 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture11 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture10 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture9 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture8 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture7 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture6 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture5 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture4 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture3 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture2 - Sourav Chatterjee(New York University) |
| Stein\'s method and applications - Lecture1 - Sourav Chatterjee(New York University) |
| Mathmatical Physics - Lecture4 - David Cai(New York University) |
| Mathmatical Physics - Lecture3 - David Cai(New York University) |
| Mathmatical Physics - Lecture2 - David Cai(New York University) |
| Mathmatical Physics - Lecture1 - David Cai(New York University) |
| PDE for Finance - David Cai(New York University) |
| Quantization of symplectic orbifolds and group actions - Ana Cannas da Silva(Princeton University) |
| Lectures on Symplectic Geometry - Ana Cannas da Silva(Princeton University) |
| Symplectic toric manifolds - Ana Cannas da Silva(Princeton University) |
| Introduction to Symplectic and Hamiltonian Geometry - Ana Cannas da Silva(Princeton University) |
| Symplectic geometry - Ana Cannas da Silva(Princeton University) |
| Advanced Topics in Cryptography 22 Multi-Party Computation with Perfect Channels - Chun-Yun Hsiao(MIT) |
| Advanced Topics in Cryptography 21 Compiling an Honest but Curious Protocol - Jonathan Derryberry(MIT) |
| Advanced Topics in Cryptography 20 Secure Multi-Party Computation in the HBC Model - Yael Tauman(MIT) |
| Advanced Topics in Cryptography 19 Concurrent Zero-Knowledge in Polylogarithmic Rounds - Nenad Dedi?(MIT) |
| Advanced Topics in Cryptography 18 Concurrent Zero-Knowledge - Jonathan Derryberry(MIT) |
| Advanced Topics in Cryptography 17 Mutually Independent Commitments - Shien Jin Ong(MIT) |
| Advanced Topics in Cryptography 16 Defining ZK Proofs of Knowledge - Vitaly Feldman(MIT) |
| Advanced Topics in Cryptography 15 A Practical CCA-2 PK Cryptosystem - Javed?Samuel(MIT) |
| Advanced Topics in Cryptography 14 Lunchtime and Chosen Ciphertext Security - David Wilson(MIT) |
| Advanced Topics in Cryptography 13 NIZK and the Lunchtime Attack - Jonathan Herzog(MIT) |
| Advanced Topics in Cryptography 12 Improved Non-Interactive Zero-Knowledge - Peng Xie(MIT) |
| Advanced Topics in Cryptography 11 Generalizing Non-Interactive Zero-Knowledge Proofs - Scott Russell(MIT) |
| Advanced Topics in Cryptography 10 Non-Interactive ZK Proofs for all of NP - None(MIT) |
| Advanced Topics in Cryptography 9 A Bounded NIZK Proof System for a Special Language - Matthew Lepinski(MIT) |
| Advanced Topics in Cryptography 8 Communication Efficiency for NP Arguments - Christopher Peikert(MIT) |
| Advanced Topics in Cryptography 7 Variations on ZK - Jo?l Alwen(MIT) |
| Advanced Topics in Cryptography 6 Power and Efficiency of ZK - Abhi Shelat(MIT) |
| Advanced Topics in Cryptography 5 ZK Proofs for all of NP - Dah-Yoh Lim(MIT) |
| Advanced Topics in Cryptography 4 ZK Proofs and Proofs of Knowledge - Susan Hohenberger(MIT) |
| Advanced Topics in Cryptography 3 Zero-Knowledge Proofs (cont.) - Steve Weis(MIT) |
| Advanced Topics in Cryptography 2 The Notion of Zero-Knowledgeness - Loizos Michael(MIT) |
| Advanced Topics in Cryptography 1 Interactive Proofs and Zero-Knowledge Proofs - Moses Liskov(MIT) |
| Introduction to Numerical Methods - Solutions to Stiff ODEs - II - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Solutions to Stiff ODEs - I - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Runge Kutta Methods - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Solutions to Ordinary Differential Equations - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Conjugate Gradients - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Lanczos Algorithm - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Iterative Algorithms, Arnoldi - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Lanczos, GMRES - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Bisection, Divide and Conquer - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Stability of the QR Algorithm - Plamen Koev(MIT) |
| Introduction to Numerical Methods - QR Algorithm - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Eigenvalue Problems - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Cholesky Factorization - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Gaussian Elimination - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Stability of Least Squares Problems - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Stability of Givens Rotations and Backward Substitution - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Conditioning and Stability - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Floating Point Arithmetic - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Least Squares Problems - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Givens Rotations and Householder Reflections - Plamen Koev(MIT) |
| Introduction to Numerical Methods - QR Factorization - Plamen Koev(MIT) |
| Introduction to Numerical Methods - The Singular Value Decomposition - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Orthogonal Matrices, Norms of Matrices - Plamen Koev(MIT) |
| Introduction to Numerical Methods - Introduction, Examples, Matrix-Vector and Matrix-Matrix products - Plamen Koev(MIT) |
| Introduction to Computational Molecular Biology 26 Robust Clustering Techniques in Bioinformatic - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 25 Sampling Good Motifs with Markov Chains - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 24 Burrows-Wheeler Transforms in Linear Time and Linear Bits - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 23 Problem Set 6 - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 22 Problem Set 5 - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 21 Problem Set 4 - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 20 Problem Set 3 - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 19 Problem Set 2 - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 18 Problem Set 1 - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 17 Another Probabilistic Method to Phase Haplotype Data - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 16 Random Projections - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 15 Gibbs Sampling - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 14 Hidden Markov Models II - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 13 Hidden Markov Models I - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 12 Trees - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 11 BLAST - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 10 Suffix Arrays and BWTs - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 9 A Review of Suffix Trees - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 8 Suffix Trees - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 7 Exact Pattern Matching - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 6 Peptide Graphs - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 5 More Efficient Alignment - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 4 Spliced Alignment - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 3 Local Alignment - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 2 Global Alignment - Ross Lippert(MIT) |
| Introduction to Computational Molecular Biology 1 Motifs and Median Strings - Ross Lippert(MIT) |
| Wavelets, Filter Banks and Applications - M-band Wavelets - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Numerical Solution of PDEs - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Wavelets and Subdivision (contd.) - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications -Wavelets and Subdivision: Nonuniform Grids - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Lifting - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Signal and Image Processing - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Smoothness of Wavelet Bases - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Accuracy of Wavelet Approximations (Condition A) - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Mallat Pyramid Algorithm Sec - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Orthogonal Wavelet Bases - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Refinement Equation - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Multiresolution Analysis (MRA) - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Maxflat Filters - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Orthogonal Filter Banks - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - MATLAB Wavelet Toolbox - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Modulation and Polyphase Representations - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Filter Banks (contd.) - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Filter Banks - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Sampling Rate Change Operations - Gilbert Strang(MIT) |
| Wavelets, Filter Banks and Applications - Discrete-time Filters - Gilbert Strang(MIT) |
| Quantum Computation 32 Quiz 2 - Peter Shor(MIT) |
| Quantum Computation 31 Quiz 1 Solutions - Peter Shor(MIT) |
| Quantum Computation 30 Quiz 1 - Peter Shor(MIT) |
| Quantum Computation 29 Solution of Homework 5 (Optional) - Peter Shor(MIT) |
| Quantum Computation 28 Solution of Homework 4 (Optional) - Peter Shor(MIT) |
| Quantum Computation 27 Solution of Homework 3 (Optional) - Peter Shor(MIT) |
| Quantum Computation 26 Solution of Homework 2 (Optional) - Peter Shor(MIT) |
| Quantum Computation 25 Solution of Homework 1 (Optional) - Peter Shor(MIT) |
| Quantum Computation 24 Solution of Homework 5 - Peter Shor(MIT) |
| Quantum Computation 23 Solution of Homework 4 - Peter Shor(MIT) |
| Quantum Computation 22 Solution of Homework 3 - Peter Shor(MIT) |
| Quantum Computation 21 Solution of Homework 2 - Peter Shor(MIT) |
| Quantum Computation 20 Solution of Homework 1 - Peter Shor(MIT) |
| Quantum Computation 19 Homework 5(Optional) - Peter Shor(MIT) |
| Quantum Computation 18 Homework 4(Optional) - Peter Shor(MIT) |
| Quantum Computation 17 Homework 3(Optional) - Peter Shor(MIT) |
| Quantum Computation 16 Homework 2(Optional) - Peter Shor(MIT) |
| Quantum Computation 15 Homework 1(Optional) - Peter Shor(MIT) |
| Quantum Computation 14 Homework 5 - Peter Shor(MIT) |
| Quantum Computation 13 Homework 4 - Peter Shor(MIT) |
| Quantum Computation 12 Homework 3 - Peter Shor(MIT) |
| Quantum Computation 11 Homework 2 - Peter Shor(MIT) |
| Quantum Computation 10 Homework 1 - Peter Shor(MIT) |
| Quantum Computation 9 Fault-Tolerant Quantum Computation - Peter Shor(MIT) |
| Quantum Computation 8 Guest Lecture by Isaac Chuang on Implementations of Quantum Computing: How to Build your Own Quantum Computer - Peter Shor(MIT) |
| Quantum Computation 7 Quantum Error Correction - Peter Shor(MIT) |
| Quantum Computation 6 Cluster States - Peter Shor(MIT) |
| Quantum Computation 5 Quantum Computation Models - Peter Shor(MIT) |
| Quantum Computation 4 Applications of Grover\'s Search Algorithm - Peter Shor(MIT) |
| Quantum Computation 3 Quantum Circuits and a Simple Quantum Algorithm - Peter Shor(MIT) |
| Quantum Computation 2 Classical Computation Models and Quantum Gates - Peter Shor(MIT) |
| Quantum Computation 1 Basics of Quantum Mechanics - Peter Shor(MIT) |
| Topics in Statistics: Statistical Learning Theory 43 Problem Set 2 - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 42 Problem Set 1 - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 41 Stein\'s method for concentration inequalities - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 40 Application of the entropy tensorization technique - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 39 Entropy tensorization inequality. Tensorization of Laplace transform - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 38 Applications of talagrand\'s convex-hull distance inequality. Bin packing - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 37 Applications of Talagrand\'s concentration inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 36 Talagrand\'s concentration inequality for empirical processes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 35 Talagrand\'s two-point inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 34 Talagrand\'s concentration inequality for empirical processes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 33 Consequences of Talagrand\'s convex-hull distance inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 32 Talagrand\'s convex-hull distance inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 31 Applications of random VC inequality to voting algorithms and SVM - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 30 Optimistic VC inequality for random classes of sets - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 29 Generalization bounds for kernel methods - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 28 Generalization bounds for neural networks (cont.) - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 27 Generalization bounds for neural networks - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 26 Application of martingale inequalities. Generalized martingale inequalities - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 25 Comparison inequality for Rademacher processes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 24 Martingale-difference inequalities - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 23 Bounds in terms of sparsity (cont.) (example) - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 22 Bounds in terms of sparsity - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 21 Bounds on the generalization error of voting classifiers (cont.) - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 20 Bounds on the generalization error of voting classifiers (cont.) - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 19 Bounds on the generalization error of voting classifiers - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 18 Generalization error bound for VC-hull classes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 17 Uniform entropy condition of VC-hull classes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 16 Covering numbers of the convex hull - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 15 Consequences of the generalized VC inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 14 More symmetrization. Generalized VC inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 13 Kolmogorov\'s chaining method. Dudley\'s entropy integral - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 12 Covering numbers of the VC subgraph classes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 11 VC subgraph classes of functions. Packing and covering numbers - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 10 Optimistic VC inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 9 Symmetrization. Pessimistic VC inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 8 Properties of VC classes of sets - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 7 Vapnik-Chervonenkis classes of sets - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 6 Hoeffding, Hoeffding-Chernoff, and Khinchine inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 5 Bernstein\'s inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 4 One dimensional concentration inequalities. Bennett\\'s inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 3 Generalization error of SVM - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 2 Support vector machines (SVM) - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 1 Voting classifiers, training error of boosting - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 43 Problem Set 2 - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 42 Problem Set 1 - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 41 Stein\'s method for concentration inequalities - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 40 Application of the entropy tensorization technique - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 39 Entropy tensorization inequality. Tensorization of Laplace transform - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 38 Applications of talagrand\'s convex-hull distance inequality. Bin packing - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 37 Applications of Talagrand\'s concentration inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 36 Talagrand\'s concentration inequality for empirical processes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 35 Talagrand\'s two-point inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 34 Talagrand\'s concentration inequality for empirical processes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 33 Consequences of Talagrand\'s convex-hull distance inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 32 Talagrand\'s convex-hull distance inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 31 Applications of random VC inequality to voting algorithms and SVM - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 30 Optimistic VC inequality for random classes of sets - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 29 Generalization bounds for kernel methods - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 28 Generalization bounds for neural networks (cont.) - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 27 Generalization bounds for neural networks - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 26 Application of martingale inequalities. Generalized martingale inequalities - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 25 Comparison inequality for Rademacher processes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 24 Martingale-difference inequalities - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 23 Bounds in terms of sparsity (cont.) (example) - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 22 Bounds in terms of sparsity - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 21 Bounds on the generalization error of voting classifiers (cont.) - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 20 Bounds on the generalization error of voting classifiers (cont.) - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 19 Bounds on the generalization error of voting classifiers - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 18 Generalization error bound for VC-hull classes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 17 Uniform entropy condition of VC-hull classes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 16 Covering numbers of the convex hull - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 15 Consequences of the generalized VC inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 14 More symmetrization. Generalized VC inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 13 Kolmogorov\'s chaining method. Dudley\'s entropy integral - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 12 Covering numbers of the VC subgraph classes - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 11 VC subgraph classes of functions. Packing and covering numbers - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 10 Optimistic VC inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 9 Symmetrization. Pessimistic VC inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 8 Properties of VC classes of sets - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 7 Vapnik-Chervonenkis classes of sets - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 6 Hoeffding, Hoeffding-Chernoff, and Khinchine inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 5 Bernstein\'s inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 4 One dimensional concentration inequalities. Bennett\\'s inequality - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 3 Generalization error of SVM - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 2 Support vector machines (SVM) - Dmitry Panchenko(MIT) |
| Topics in Statistics: Statistical Learning Theory 1 Voting classifiers, training error of boosting - Dmitry Panchenko(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 22 Hint(Problem Set 4) - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 21 Hint(Problem Set 3) - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 20 Hint(Problem Set 2) - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 19 Problem Set 8 - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 18 Problem Set 7 - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 17 Problem Set 6 - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 16 Problem Set 5 - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 15 Problem Set 4 - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 14 Problem Set 3 - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 13 Problem Set 2 - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 12 Problem Set 1 - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 11 Location and Scatter Functionals - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 10 Non-existence of some Affinely Equivariant Location Functionals in Dimension d - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 9 The Spatial Median - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 8 M-estimators and their Consistency - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 7 Breakdown Points of some 1-Dimensional Location Estimators - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 6 Introduction to Robustness: Breakdown Points - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 5 The Delta-Method and Asymptotics of some Estimators - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 4 Bretagnolle and Massart\'s Proof of the KMT Theorem for the Uniform Empirical Process - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 3 Combining the Run and Mann-Whitney-Wilcoxon Tests - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 2 Quantiles - Richard Dudley(MIT) |
| Topics in Statistics: Nonparametrics and Robustness 1 Outliers - Richard Dudley(MIT) |
| Randomized Algorithms 51 Solution 13 - David R. Karger(MIT) |
| Randomized Algorithms 50 Solution 12 - David R. Karger(MIT) |
| Randomized Algorithms 49 Solution 11 - David R. Karger(MIT) |
| Randomized Algorithms 48 Solution 10 - David R. Karger(MIT) |
| Randomized Algorithms 47 Solution 9 - David R. Karger(MIT) |
| Randomized Algorithms 46 Solution 8 - David R. Karger(MIT) |
| Randomized Algorithms 45 Solution 7 - David R. Karger(MIT) |
| Randomized Algorithms 44 Solution 6 - David R. Karger(MIT) |
| Randomized Algorithms 43 Solution 5 - David R. Karger(MIT) |
| Randomized Algorithms 42 Solution 4 - David R. Karger(MIT) |
| Randomized Algorithms 41 Solution 3 - David R. Karger(MIT) |
| Randomized Algorithms 40 Solution 2 - David R. Karger(MIT) |
| Randomized Algorithms 39 Solution 1 - David R. Karger(MIT) |
| Randomized Algorithms 38 Homework 13 - David R. Karger(MIT) |
| Randomized Algorithms 37 Homework 12 - David R. Karger(MIT) |
| Randomized Algorithms 36 Homework 11 - David R. Karger(MIT) |
| Randomized Algorithms 35 Homework 10 - David R. Karger(MIT) |
| Randomized Algorithms 34 Homework 9 - David R. Karger(MIT) |
| Randomized Algorithms 33 Homework 8 - David R. Karger(MIT) |
| Randomized Algorithms 32 Homework 7 - David R. Karger(MIT) |
| Randomized Algorithms 31 Homework 6 - David R. Karger(MIT) |
| Randomized Algorithms 30 Homework 5 - David R. Karger(MIT) |
| Randomized Algorithms 29 Homework 4 - David R. Karger(MIT) |
| Randomized Algorithms 28 Homework 3 - David R. Karger(MIT) |
| Randomized Algorithms 27 Homework 2 - David R. Karger(MIT) |
| Randomized Algorithms 26 Homework 1 - David R. Karger(MIT) |
| Randomized Algorithms 25 Trapezoidal Decomposition, Treaps - David R. Karger(MIT) |
| Randomized Algorithms 24 Randomized Incremental Construction - David R. Karger(MIT) |
| Randomized Algorithms 23 Computational Geometry - David R. Karger(MIT) |
| Randomized Algorithms 22 Sampling with Markov Chains, Coupling - David R. Karger(MIT) |
| Randomized Algorithms 21 Expander based Pseudo-Random Generator - David R. Karger(MIT) |
| Randomized Algorithms 20 UTS, Eigenvalue Analysis, Expanders - David R. Karger(MIT) |
| Randomized Algorithms 19 Markov Chains - David R. Karger(MIT) |
| Randomized Algorithms 18 DNF Counting - David R. Karger(MIT) |
| Randomized Algorithms 17 Linear Programming - David R. Karger(MIT) |
| Randomized Algorithms 16 Estimating Min-Cut Size - David R. Karger(MIT) |
| Randomized Algorithms 15 Polling, Minimum Cut, Transitive Closure - David R. Karger(MIT) |
| Randomized Algorithms 14 Minimum Spanning Trees - David R. Karger(MIT) |
| Randomized Algorithms 13 Maximal Independent Sets - David R. Karger(MIT) |
| Randomized Algorithms 12 Parallel Algorithms - David R. Karger(MIT) |
| Randomized Algorithms 11 Shortest Paths - David R. Karger(MIT) |
| Randomized Algorithms 10 Fingerprints by Polynomials, Perfect Matching, Hashing - David R. Karger(MIT) |
| Randomized Algorithms 9 Hashing, Perfect Hash Families, Freivald's Technique - David R. Karger(MIT) |
| Randomized Algorithms 8 Method of Conditional Probabilities and Expectations, Fingerprinting - David R. Karger(MIT) |
| Randomized Algorithms 7 Probabilistic Method, Expanders, Wiring, MAX SAT - David R. Karger(MIT) |
| Randomized Algorithms 6 Median Finding, Routing - David R. Karger(MIT) |
| Randomized Algorithms 5 Chebyshev, Two Point Sampling, Chernoff - David R. Karger(MIT) |
| Randomized Algorithms 4 Coupon Collecting, Stable Marriage, Markov Inequality - David R. Karger(MIT) |
| Randomized Algorithms 3 Adelman's Theorem, Game Theory, Lower Bounds - David R. Karger(MIT) |
| Randomized Algorithms 2 Min-Cut, Complexity Theory, Game Tree Evaluation - David R. Karger(MIT) |
| Randomized Algorithms 1 Introduction to Randomized Algorithms - David R. Karger(MIT) |
| Mathematical Statistics 52 Final Exam - Richard Dudley(MIT) |
| Mathematical Statistics 51 Review for Final Exam - Richard Dudley(MIT) |
| Mathematical Statistics 50 Midterm Exam - Richard Dudley(MIT) |
| Mathematical Statistics 49 Review for Midterm - Richard Dudley(MIT) |
| Mathematical Statistics 48 Hint (Problem Set 7) - Richard Dudley(MIT) |
| Mathematical Statistics 47 Hint (Problem Set 6) - Richard Dudley(MIT) |
| Mathematical Statistics 46 Hint (Problem Set 5) - Richard Dudley(MIT) |
| Mathematical Statistics 45 Hint (Problem Set 4) - Richard Dudley(MIT) |
| Mathematical Statistics 44 Hint (Problem Set 3) - Richard Dudley(MIT) |
| Mathematical Statistics 43 Hint (Problem Set 2) - Richard Dudley(MIT) |
| Mathematical Statistics 42 Problem Set 10 - Richard Dudley(MIT) |
| Mathematical Statistics 41 Problem Set 9 - Richard Dudley(MIT) |
| Mathematical Statistics 40 Problem Set 8 - Richard Dudley(MIT) |
| Mathematical Statistics 39 Problem Set 7 - Richard Dudley(MIT) |
| Mathematical Statistics 38 Problem Set 6 - Richard Dudley(MIT) |
| Mathematical Statistics 37 Problem Set 5 - Richard Dudley(MIT) |
| Mathematical Statistics 36 Problem Set 4 - Richard Dudley(MIT) |
| Mathematical Statistics 35 Problem Set 3 - Richard Dudley(MIT) |
| Mathematical Statistics 34 Problem Set 2 - Richard Dudley(MIT) |
| Mathematical Statistics 33 Problem Set 1 - Richard Dudley(MIT) |
| Mathematical Statistics 32 Appendix F. The Lagrange Multiplier Technique, 2 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 31 Appendix E. Line fitting by Distance: Errors in variables Regression, 3 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 30 Appendix D. Mathematical Foundations of Probability Theory, 2 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 29 Appendix C. Separability of Stochastic Processes, 1 page. - Richard Dudley(MIT) |
| Mathematical Statistics 28 Appendix B. Preservation of Dimension by 1 1 Continuous Functions, 1 page. - Richard Dudley(MIT) |
| Mathematical Statistics 27 Appendix A. Uniqueness of Likelihood Ratios, 2 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 26 4.1 Convergence of Posteriors, 5 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 25 3.9 A Likelihood Ratio Test for Nested Composite Hypotheses: Wilks\'s theorem, 5 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 24 3.8 Efficiency of Maximum Likelihood Estimators, 4 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 23 3.7 Efficiency of Estimators, 11 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 22 3.6 Asymptotic Normality of M estimates, 8 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 21 3.5 Consistency of Approximate M estimators of?psi?type, 4 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 20 3.44 Robustness, Breakdown Points, and 1 dimensional Location M estimates, 6 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 19 3.4 M estimates and Robust Location Estimates, 8 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 18 3.3 M estimators and Their Consistency, 8 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 17 3.2 Likelihood Equations and Errors in variables Regression: Solari\'s Example, 5 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 16 3.1 Maximum Likelihood Estimates? In Exponential Families, 4 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 15 2.8* Continuity at the Boundary for Exponential Families, 3 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 14 2.7 Stein\'s Phenomenon and James Stein Estimators, 5 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 13 2.6 Bayes Estimation, 5 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 12 2.5 Exponential Families, 13 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 11 2.4 Lower Bounds on Mean squared Errors: Information Inequalities, 10 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 10 2.3 Minimal Sufficiency and the Lehmann Scheff??Property, 6 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 9 2.2 Estimation and Convexity, 5 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 8 2.1 Sufficient Statistics, 8 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 7 1.7 Proof of Optimality of the SPRT, 9 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 6 1.6 Sequential Decision Theory, 2 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 5 1.5 The Sequential Probability Ratio Test, 5 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 4 1.4* Realizable Rules, 2 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 3 1.3 Bayes Decision Theory, 6 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 2 1.2 Decision Theory, 6 pages. - Richard Dudley(MIT) |
| Mathematical Statistics 1 1.1 Deciding between Two Simple Hypotheses: The Neyman Pearson Lemma, 8 pages. - Richard Dudley(MIT) |
| Distributed Algorithms 35 Problem Set 7 B - Nancy Lynch(MIT) |
| Distributed Algorithms 34 Problem Set 7 A - Nancy Lynch(MIT) |
| Distributed Algorithms 33 Problem Set 6 B - Nancy Lynch(MIT) |
| Distributed Algorithms 32 Problem Set 6 A - Nancy Lynch(MIT) |
| Distributed Algorithms 31 Problem Set 5 B - Nancy Lynch(MIT) |
| Distributed Algorithms 30 Problem Set 5 A - Nancy Lynch(MIT) |
| Distributed Algorithms 29 Problem Set 4 B - Nancy Lynch(MIT) |
| Distributed Algorithms 28 Problem Set 4 A - Nancy Lynch(MIT) |
| Distributed Algorithms 27 Problem Set 3 B - Nancy Lynch(MIT) |
| Distributed Algorithms 26 Problem Set 3 A - Nancy Lynch(MIT) |
| Distributed Algorithms 25 Problem Set 2 B - Nancy Lynch(MIT) |
| Distributed Algorithms 24 Problem Set 2 A - Nancy Lynch(MIT) |
| Distributed Algorithms 23 Problem Set 1 B - Nancy Lynch(MIT) |
| Distributed Algorithms 22 Problem Set 1 A - Nancy Lynch(MIT) |
| Distributed Algorithms 21 Lecture Notes 21 - Nancy Lynch(MIT) |
| Distributed Algorithms 20 Lecture Notes 20 - Nancy Lynch(MIT) |
| Distributed Algorithms 19 Lecture Notes 19 - Nancy Lynch(MIT) |
| Distributed Algorithms 18 Lecture Notes 18 - Nancy Lynch(MIT) |
| Distributed Algorithms 17 Lecture Notes 17 - Nancy Lynch(MIT) |
| Distributed Algorithms 16 Lecture Notes 16 - Nancy Lynch(MIT) |
| Distributed Algorithms 15 Lecture Notes 15 - Nancy Lynch(MIT) |
| Distributed Algorithms 14 Lecture Notes 14 - Nancy Lynch(MIT) |
| Distributed Algorithms 13 Lecture Notes 13 - Nancy Lynch(MIT) |
| Distributed Algorithms 12 Lecture Notes 12 - Nancy Lynch(MIT) |
| Distributed Algorithms 11 Lecture Notes 11 - Nancy Lynch(MIT) |
| Distributed Algorithms 10 Lecture Notes 10 - Nancy Lynch(MIT) |
| Distributed Algorithms 9 Lecture Notes 9 - Nancy Lynch(MIT) |
| Distributed Algorithms 8 Lecture Notes 8 - Nancy Lynch(MIT) |
| Distributed Algorithms 7 Lecture Notes 7 - Nancy Lynch(MIT) |
| Distributed Algorithms 6 Lecture Notes 6 - Nancy Lynch(MIT) |
| Distributed Algorithms 5 Lecture Notes 5 - Nancy Lynch(MIT) |
| Distributed Algorithms 4 Lecture Notes 4 - Nancy Lynch(MIT) |
| Distributed Algorithms 3 Lecture Notes 3 - Nancy Lynch(MIT) |
| Distributed Algorithms 2 Lecture Notes 2 - Nancy Lynch(MIT) |
| Distributed Algorithms 1 Lecture Notes 1 - Nancy Lynch(MIT) |
| Advanced Algorithms 63 SOLUTIONS 12 - David R. Karger(MIT) |
| Advanced Algorithms 62 SOLUTIONS 11 - David R. Karger(MIT) |
| Advanced Algorithms 61 SOLUTIONS 10 - David R. Karger(MIT) |
| Advanced Algorithms 60 SOLUTIONS 9 - David R. Karger(MIT) |
| Advanced Algorithms 59 SOLUTIONS 8 - David R. Karger(MIT) |
| Advanced Algorithms 58 SOLUTIONS 7 - David R. Karger(MIT) |
| Advanced Algorithms 57 SOLUTIONS 6 - David R. Karger(MIT) |
| Advanced Algorithms 56 SOLUTIONS 5 - David R. Karger(MIT) |
| Advanced Algorithms 55 SOLUTIONS 4 - David R. Karger(MIT) |
| Advanced Algorithms 54 SOLUTIONS 3 - David R. Karger(MIT) |
| Advanced Algorithms 53 SOLUTIONS 2 - David R. Karger(MIT) |
| Advanced Algorithms 52 SOLUTIONS 1 - David R. Karger(MIT) |
| Advanced Algorithms 51 Problem Set 12 - David R. Karger(MIT) |
| Advanced Algorithms 50 Problem Set 11 - David R. Karger(MIT) |
| Advanced Algorithms 49 Problem Set 10 - David R. Karger(MIT) |
| Advanced Algorithms 48 Problem Set 9 - David R. Karger(MIT) |
| Advanced Algorithms 47 Problem Set 8 - David R. Karger(MIT) |
| Advanced Algorithms 46 Problem Set 7 - David R. Karger(MIT) |
| Advanced Algorithms 45 Problem Set 6 - David R. Karger(MIT) |
| Advanced Algorithms 44 Problem Set 5 - David R. Karger(MIT) |
| Advanced Algorithms 43 Problem Set 4 - David R. Karger(MIT) |
| Advanced Algorithms 42 Problem Set 3 - David R. Karger(MIT) |
| Advanced Algorithms 41 Problem Set 2 - David R. Karger(MIT) |
| Advanced Algorithms 40 Problem Set 1 - David R. Karger(MIT) |
| Advanced Algorithms 39 Instructor NOTES 15 - David R. Karger(MIT) |
| Advanced Algorithms 38 Instructor NOTES 14 - David R. Karger(MIT) |
| Advanced Algorithms 37 Instructor NOTES 13 - David R. Karger(MIT) |
| Advanced Algorithms 36 Instructor NOTES 12 - David R. Karger(MIT) |
| Advanced Algorithms 35 Instructor NOTES 11 - David R. Karger(MIT) |
| Advanced Algorithms 34 Instructor NOTES 10 - David R. Karger(MIT) |
| Advanced Algorithms 33 Instructor NOTES 9 - David R. Karger(MIT) |
| Advanced Algorithms 32 Instructor NOTES 8 - David R. Karger(MIT) |
| Advanced Algorithms 31 Instructor NOTES 7 - David R. Karger(MIT) |
| Advanced Algorithms 30 Instructor NOTES 6 - David R. Karger(MIT) |
| Advanced Algorithms 29 Instructor NOTES 5 - David R. Karger(MIT) |
| Advanced Algorithms 28 Instructor NOTES 4 - David R. Karger(MIT) |
| Advanced Algorithms 27 Instructor NOTES 3 - David R. Karger(MIT) |
| Advanced Algorithms 26 Instructor NOTES 2 - David R. Karger(MIT) |
| Advanced Algorithms 25 Instructor NOTES 1 - David R. Karger(MIT) |
| Advanced Algorithms 24 SCRIBE NOTES(2004) 14 - David R. Karger(MIT) |
| Advanced Algorithms 23 SCRIBE NOTES(2004) 13 - David R. Karger(MIT) |
| Advanced Algorithms 22 SCRIBE NOTES(2004) 12 - David R. Karger(MIT) |
| Advanced Algorithms 21 SCRIBE NOTES(2004) 11 - David R. Karger(MIT) |
| Advanced Algorithms 20 SCRIBE NOTES(2004) 10 - David R. Karger(MIT) |
| Advanced Algorithms 19 SCRIBE NOTES(2004) 9 - David R. Karger(MIT) |
| Advanced Algorithms 18 SCRIBE NOTES(2004) 8 - David R. Karger(MIT) |
| Advanced Algorithms 17 SCRIBE NOTES(2004) 7 - David R. Karger(MIT) |
| Advanced Algorithms 16 SCRIBE NOTES(2004) 6 - David R. Karger(MIT) |
| Advanced Algorithms 15 SCRIBE NOTES(2004) 5 - David R. Karger(MIT) |
| Advanced Algorithms 14 SCRIBE NOTES(2004) 4 - David R. Karger(MIT) |
| Advanced Algorithms 13 SCRIBE NOTES(2004) 3 - David R. Karger(MIT) |
| Advanced Algorithms 12 SCRIBE NOTES(2004) 2 - David R. Karger(MIT) |
| Advanced Algorithms 11 SCRIBE NOTES(2004) 1 - David R. Karger(MIT) |
| Advanced Algorithms 10 SCRIBE NOTES(2005) 10 - David R. Karger(MIT) |
| Advanced Algorithms 9 SCRIBE NOTES(2005) 9 - David R. Karger(MIT) |
| Advanced Algorithms 8 SCRIBE NOTES(2005) 8 - David R. Karger(MIT) |
| Advanced Algorithms 7 SCRIBE NOTES(2005) 7 - David R. Karger(MIT) |
| Advanced Algorithms 6 SCRIBE NOTES(2005) 6 - David R. Karger(MIT) |
| Advanced Algorithms 5 SCRIBE NOTES(2005) 5 - David R. Karger(MIT) |
| Advanced Algorithms 4 SCRIBE NOTES(2005) 4 - David R. Karger(MIT) |
| Advanced Algorithms 3 SCRIBE NOTES(2005) 3 - David R. Karger(MIT) |
| Advanced Algorithms 2 SCRIBE NOTES(2005) 2 - David R. Karger(MIT) |
| Advanced Algorithms 1 SCRIBE NOTES(2005) 1 - David R. Karger(MIT) |
| Differential Analysis - References - Richard Melrose(MIT) |
| Differential Analysis - Solutions - Richard Melrose(MIT) |
| Differential Analysis - Problems - Richard Melrose(MIT) |
| Differential Analysis - Spectral Theorem - Richard Melrose(MIT) |
| Differential Analysis - Homogeneous Distributions - Richard Melrose(MIT) |
| Differential Analysis - Cone Support and Wavefront Set - Richard Melrose(MIT) |
| Differential Analysis - Differential Operators - Richard Melrose(MIT) |
| Differential Analysis - Sobolev Embedding - Richard Melrose(MIT) |
| Differential Analysis - Fourier Inversion - Richard Melrose(MIT) |
| Differential Analysis - Convolution and Density - Richard Melrose(MIT) |
| Differential Analysis - Tempered Distributions - Richard Melrose(MIT) |
| Differential Analysis - Test Functions - Richard Melrose(MIT) |
| Differential Analysis - Hilbert Space - Richard Melrose(MIT) |
| Differential Analysis - Integration - Richard Melrose(MIT) |
| Differential Analysis - Measureability of Functions - Richard Melrose(MIT) |
| Differential Analysis - Measures and sigma-algebras - Richard Melrose(MIT) |
| Differential Analysis - Continuous Functions - Richard Melrose(MIT) |
| Advanced Partial Differential Equations with Applications - Poisson equation - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Generalized functions - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Green\'s functions for signaling and source terms - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Linear equations - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Gas dynamics in 1-D - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Examples of first order 1-D hypebolic systems - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - First order 1-D systems of equations - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Eikonal. Amplitude and curvature along rays. Behavior near caustic. Caustic expansion - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Eikonal. Focusing and caustics. Description of the caustic - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Continue with Hamilton-Jacobi equation - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Hyperbolicity and weak singularities - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - PDE and propagation of information - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Shallow water and higher order terms - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Shock structure and detailed physics - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - The Riemann problem for the kinematic wave equation with convex/concave flux - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Shocks in the presence of source terms. Example - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - More on envelopes. Infinite slopes at envelope - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Region of multiple values. Envelope of characteristics - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Graphical interpretation of solution by characteristics - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Domains of influence and dependence - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - First order scalar PDE - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Classification of PDE - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Conservation laws and PDE - Rodolfo Rosales(MIT) |
| Advanced Partial Differential Equations with Applications - Example PDE - Rodolfo Rosales(MIT) |
| Convex Optimization I - 4.Disciplined convex programming and CVX - Stephen Boyd(Stanford University) |
| Convex Optimization I - 3.Filter design and equalization - Stephen Boyd(Stanford University) |
| Convex Optimization I - 2.Stochastic programming - Stephen Boyd(Stanford University) |
| Convex Optimization I - 1.Convex optimization examples - Stephen Boyd(Stanford University) |
| Convex Optimization I - 13.Conclusions - Stephen Boyd(Stanford University) |
| Convex Optimization I - 12.Interior-point methods - Stephen Boyd(Stanford University) |
| Convex Optimization I - 11.Equality constrained minimization - Stephen Boyd(Stanford University) |
| Convex Optimization I - 10.Unconstrained minimization - Stephen Boyd(Stanford University) |
| Convex Optimization I - 9.Numerical linear algebra background - Stephen Boyd(Stanford University) |
| Convex Optimization I - 8.Geometric problems - Stephen Boyd(Stanford University) |
| Convex Optimization I - 7.Statistical estimation - Stephen Boyd(Stanford University) |
| Convex Optimization I - 6.Approximation and fitting - Stephen Boyd(Stanford University) |
| Convex Optimization I - 5.Duality - Stephen Boyd(Stanford University) |
| Convex Optimization I - 4.Convex optimization problems - Stephen Boyd(Stanford University) |
| Convex Optimization I - 3.Convex functions - Stephen Boyd(Stanford University) |
| Convex Optimization I - 2.Convex sets - Stephen Boyd(Stanford University) |
| Convex Optimization I - 1.Introduction - Stephen Boyd(Stanford University) |
| Advanced Analytic Methods in Science and Engineering - Asymptotic Expansions of Integrals - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - Asymptotic Expansions of Integrals - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - Asymptotic Expansions of Integrals - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - Method of Stationary Phase - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - The Laplace Method - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - Turning Point - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - The WKB Approximation - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - Irregular Singular Points of Ordinary Differential Equations - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - Regular Singular Points of Ordinary Differential Equations - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - Singular Points of Ordinary Differential Equations - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - Separation of Variables - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - Second-Order Partial Differential Equations - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - First-Order Partial Differential Equations - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - Complex Analysis - Hung Cheng(MIT) |
| Advanced Analytic Methods in Science and Engineering - The Differential Operator - Hung Cheng(MIT) |
| Topics in Algebraic Geometry: Intersection Theory on Moduli Spaces 6 Some notes on the Kontsevich moduli space of genus zero stable maps. - Izzet Coskun(MIT) |
| Topics in Algebraic Geometry: Intersection Theory on Moduli Spaces 5 Some notes about the Kodaira dimension of the moduli space of curves. - Izzet Coskun(MIT) |
| Topics in Algebraic Geometry: Intersection Theory on Moduli Spaces 4 Some notes describing the Picard group of the moduli space of curves. - Izzet Coskun(MIT) |
| Topics in Algebraic Geometry: Intersection Theory on Moduli Spaces 3 Some notes containing a brief survey of the cohomology of the moduli space of curves and the Harer-Zagier formula for the orbifold - Izzet Coskun(MIT) |
| Topics in Algebraic Geometry: Intersection Theory on Moduli Spaces 2 Some notes about the construction of the Hilbert scheme. Included are some notes on G.I.T. and the construction of the moduli space - Izzet Coskun(MIT) |
| Topics in Algebraic Geometry: Intersection Theory on Moduli Spaces 1 Some notes about Grassmannians. - Izzet Coskun(MIT) |
| Algebraic Geometry 30 Final Take-home Exam - Martin Olsson(MIT) |
| Algebraic Geometry 29 Problem Set 10 - Martin Olsson(MIT) |
| Algebraic Geometry 28 Problem Set 9 - Martin Olsson(MIT) |
| Algebraic Geometry 27 Problem Set 8 - Martin Olsson(MIT) |
| Algebraic Geometry 26 Problem Set 7 - Martin Olsson(MIT) |
| Algebraic Geometry 25 Problem Set 6 - Martin Olsson(MIT) |
| Algebraic Geometry 24 Problem Set 5 - Martin Olsson(MIT) |
| Algebraic Geometry 23 Problem Set 4 - Martin Olsson(MIT) |
| Algebraic Geometry 22 Problem Set 3 - Martin Olsson(MIT) |
| Algebraic Geometry 21 Problem Set 2 - Martin Olsson(MIT) |
| Algebraic Geometry 20 Problem Set 1 - Martin Olsson(MIT) |
| Algebraic Geometry 19 What is Next? - Martin Olsson(MIT) |
| Algebraic Geometry 18 Curves - Martin Olsson(MIT) |
| Algebraic Geometry 17 Chow's Lemma - Martin Olsson(MIT) |
| Algebraic Geometry 16 Completeness - Martin Olsson(MIT) |
| Algebraic Geometry 15 Fiber Products - Martin Olsson(MIT) |
| Algebraic Geometry 14 Fibers of Morphisms - Martin Olsson(MIT) |
| Algebraic Geometry 13 Back to Dimension - Martin Olsson(MIT) |
| Algebraic Geometry 12 Homework 5 Problem - Martin Olsson(MIT) |
| Algebraic Geometry 11 Recap on the Applications - Martin Olsson(MIT) |
| Algebraic Geometry 10 Applications - Martin Olsson(MIT) |
| Algebraic Geometry 9 A Review on?Projective Varieties - Martin Olsson(MIT) |
| Algebraic Geometry 8 Projective Varieties - Martin Olsson(MIT) |
| Algebraic Geometry 7 Homework Review - Martin Olsson(MIT) |
| Algebraic Geometry 6 Review of things not covered enough (Topics: Fibers, Morphisms of Sheaves) - Martin Olsson(MIT) |
| Algebraic Geometry 5 Presheaves - Martin Olsson(MIT) |
| Algebraic Geometry 4 Projective Space (cont.) - Martin Olsson(MIT) |
| Algebraic Geometry 3 Projective Space (cont.) - Martin Olsson(MIT) |
| Algebraic Geometry 2 Recap of Last Time - Martin Olsson(MIT) |
| Algebraic Geometry 1 Introduction - Martin Olsson(MIT) |
| Algebraic Geometry 38 Problem set 12 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 37 Problem set 11 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 36 Problem set 10 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 35 Problem set 9 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 34 Problem set 8 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 33 Problem set 7 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 32 Problem set 6 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 31 Problem set 5 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 30 Problem set 4 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 29 Problem set 3 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 28 Problem set 2 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 27 Problem set 1 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 26 ?tale cohomology - Kiran Kedlaya(MIT) |
| Algebraic Geometry 25 Higher Riemann-Roch - Kiran Kedlaya(MIT) |
| Algebraic Geometry 24 Cohen-Macaulay schemes and Serre duality - Kiran Kedlaya(MIT) |
| Algebraic Geometry 23 Dualizing sheaves and Riemann-Roch - Kiran Kedlaya(MIT) |
| Algebraic Geometry 22 Serre duality for projective space - Kiran Kedlaya(MIT) |
| Algebraic Geometry 21 GAGA - Kiran Kedlaya(MIT) |
| Algebraic Geometry 20 Hilbert polynomials - Kiran Kedlaya(MIT) |
| Algebraic Geometry 19 Cohomology of projective spaces - Kiran Kedlaya(MIT) |
| Algebraic Geometry 18 Cohomology of quasicoherent sheaves - Kiran Kedlaya(MIT) |
| Algebraic Geometry 17 Sheaf cohomology - Kiran Kedlaya(MIT) |
| Algebraic Geometry 16 Homological algebra - Kiran Kedlaya(MIT) |
| Algebraic Geometry 15 Divisors on curves - Kiran Kedlaya(MIT) |
| Algebraic Geometry 14 Divisors - Kiran Kedlaya(MIT) |
| Algebraic Geometry 13 Differentials - Kiran Kedlaya(MIT) |
| Algebraic Geometry 12 Flat morphisms and descent - Kiran Kedlaya(MIT) |
| Algebraic Geometry 11 More properties of schemes - Kiran Kedlaya(MIT) |
| Algebraic Geometry 10 Projective morphisms, part 2 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 9 Projective morphisms, part 1 - Kiran Kedlaya(MIT) |
| Algebraic Geometry 8 More properties of morphisms - Kiran Kedlaya(MIT) |
| Algebraic Geometry 7 Sheaves of modules - Kiran Kedlaya(MIT) |
| Algebraic Geometry 6 Morphisms of schemes - Kiran Kedlaya(MIT) |
| Algebraic Geometry 5 Schemes - Kiran Kedlaya(MIT) |
| Algebraic Geometry 4 Abelian sheaves - Kiran Kedlaya(MIT) |
| Algebraic Geometry 3 Sheaves - Kiran Kedlaya(MIT) |
| Algebraic Geometry 2 Basics of category theory - Kiran Kedlaya(MIT) |
| Algebraic Geometry 1 Introduction and overview - Kiran Kedlaya(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - IAASL - Chapter 10: Goedel\'s quintessential strange loop - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Chapter VI: The location of meaning - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Canon by intervallic augmentation - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Chapter V: Recursive structures and processes - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Little harmonic Labyrinth - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Chapter IV: Consistency, completeness, and geometry - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Contracrostipunctus - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Chapter III: Figure and ground - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Sonata for unaccompanied Achilles - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Chapter II: Meaning and form in mathematics - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Two-part invention - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Chapter I: The MU-puzzle - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Three part invention - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Introduction: A musico-logical offering - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Tools for thinking - Justin Curry(MIT) |
| Goedel, Escher, Bach: A Mental Space Odyssey - Welcome - Justin Curry(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 25 Problem set 2 - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 24 Problem set 1 - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 22 Classification (cont.) and Moduli - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 21 Elliptic/quasi-elliptic fibrations III, classification - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 20 Elliptic/quasi-elliptic fibrations II - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 19 Elliptic/quasi-elliptic fibrations I - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 18 Classification - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 17 Enriques surfaces, bielliptic surfaces - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 16 K3 surfaces - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 15 Elliptic surfaces (cont.), Kodaira dimension 0 - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 14 Elliptic and quasi-elliptic surfaces - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 13 Classification of ruled surfaces - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 12 Non-ruled and ruled surfaces - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 11 Albanese variety - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 10 Picard variety - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 9 Castelnuovo\'s criterion for rationality - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 8 Linear systems, rational normal scrolls - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 7 Ruled surfaces III, rational surfaces - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 6 Ruled surfaces II - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 5 Ruled surfaces I - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 4 Birational maps (cont.) - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 3 Birational maps, rational maps, linear systems, properties of birational maps between surfaces - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 2 Linear equivalence, algebraic equivalence, numerical equivalence of divisors - Abhinav Kumar(MIT) |
| Topics in Algebraic Geometry: Algebraic Surfaces 1 Introduction - Abhinav Kumar(MIT) |
| Theory of Probability - Laws of the iterated logarithm - Dmitry Panchenko(MIT) |
| Theory of Probability - Laws of Brownian motion at stopping times - Dmitry Panchenko(MIT) |
| Theory of Probability - Markov property of Brownian motion, reflection principles - Dmitry Panchenko(MIT) |
| Theory of Probability - Empirical process and Kolmogorov\'s chaining - Dmitry Panchenko(MIT) |
| Theory of Probability - Donsker invariance principle - Dmitry Panchenko(MIT) |
| Theory of Probability - Stochastic processes, Brownian motion - Dmitry Panchenko(MIT) |
| Theory of Probability - Prekopa-Leindler inequality, entropy and concentration - Dmitry Panchenko(MIT) |
| Theory of Probability - Kantorovich-Rubinstein theorem - Dmitry Panchenko(MIT) |
| Theory of Probability - Strassen\'s theorem, relationship between metrics - Dmitry Panchenko(MIT) |
| Theory of Probability - Convergence and uniform tightness - Dmitry Panchenko(MIT) |
| Theory of Probability - Metrics for convergence of laws, empirical measures - Dmitry Panchenko(MIT) |
| Theory of Probability - Convergence on metric spaces, Portmanteau theorem - Dmitry Panchenko(MIT) |
| Theory of Probability - Convergence of Martingales - Dmitry Panchenko(MIT) |
| Theory of Probability - Optional stopping, inequalities for Martingales - Dmitry Panchenko(MIT) |
| Theory of Probability - Martingales, Doob\'s decomposition - Dmitry Panchenko(MIT) |
| Theory of Probability - Levy\'s continuity theorem - Dmitry Panchenko(MIT) |
| Theory of Probability - Lindeberg\'s central limit theorem - Dmitry Panchenko(MIT) |
| Theory of Probability - Multivariate normal distributions and central limit theorem - Dmitry Panchenko(MIT) |
| Theory of Probability - Characteristic functions, central limit theorem on the real line - Dmitry Panchenko(MIT) |
| Theory of Probability - Convergence of laws, selection theorem - Dmitry Panchenko(MIT) |
| Theory of Probability - Stopping times, Wald\'s identity - Dmitry Panchenko(MIT) |
| Theory of Probability - 0-1 laws, convergence of random series - Dmitry Panchenko(MIT) |
| Theory of Probability - Bernstein\'s polynomials, Hausdorff and de Finetti theorems - Dmitry Panchenko(MIT) |
| Theory of Probability - Laws of large numbers - Dmitry Panchenko(MIT) |
| Theory of Probability - Kolmogorov\'s theorem about consistent distributions - Dmitry Panchenko(MIT) |
| Theory of Probability - Random variables and their properties, expectation - Dmitry Panchenko(MIT) |
| Theory of Probability - Probability spaces, properties of probability - Dmitry Panchenko(MIT) |
| Differential Analysis-25.W^{2,p} Estimate for N.P., 1 < p < infty
- Jeff Viaclovsky(MIT) |
| Differential Analysis-24.Cube Decomposition - Jeff Viaclovsky(MIT) |
| Differential Analysis-23.Weak L^2 Maximum Principle - Jeff Viaclovsky(MIT) |
| Differential Analysis-22.Interior W^{k+2,2} Estimates for Solutions of Lu = f in W^{k,2}
- Jeff Viaclovsky(MIT) |
| Differential Analysis-21.Characterization of W^{1,p} in Terms of Difference Quotients (cont.)
- Jeff Viaclovsky(MIT) |
| Differential Analysis-20.Sobolev Imbedding for p > n, H?lder Continuity - Jeff Viaclovsky(MIT) |
| Differential Analysis-19.Sobolev Imbedding Theorem p < n
- Jeff Viaclovsky(MIT) |
| Differential Analysis-18.C^{k,alpha} Regularity up to the Boundary - Jeff Viaclovsky(MIT) |
| Differential Analysis-17.Elliptic Regularity: If f and Coefficients of L in C^{k,alpha}, Lu = f, then u in C^{k+2,alpha}
- Jeff Viaclovsky(MIT) |
| Differential Analysis-16.Continuity Method
- Jeff Viaclovsky(MIT) |
| Differential Analysis-15.Global Schauder Estimate
- Jeff Viaclovsky(MIT) |
| Differential Analysis-14.Interior Schauder Estimate - Jeff Viaclovsky(MIT) |
| Differential Analysis-13.Global C^{2,alpha} Solution of Poisson's Equation Delta u = f in C^{alpha}, for C^{2,alpha} Boundary Values in Balls
- Jeff Viaclovsky(MIT) |
| Differential Analysis-12.Schwartz Reflection Reviewed
- Jeff Viaclovsky(MIT) |
| Differential Analysis-11.Interior C^{2,alpha} Estimate for Newtonian Potential - Jeff Viaclovsky(MIT) |
| Differential Analysis-10.If Delta u in C^{alpha}, alpha > 0, then u in C^{2}
- Jeff Viaclovsky(MIT) |
| Differential Analysis-09.If Delta u in L^{infty}, then u in C^{1,alpha}, any 0 < alpha < 1
- Jeff Viaclovsky(MIT) |
| Differential Analysis-08.Quasilinear Equations (Minimal Surface Equation)
- Jeff Viaclovsky(MIT) |
| Differential Analysis-07.Weak Maximum Princple for Linear Elliptic Operators - Jeff Viaclovsky(MIT) |
| Differential Analysis-06.Kelvin Transform I: Direct Computation - Jeff Viaclovsky(MIT) |
| Differential Analysis-05.A Removable Singularity Theorem - Jeff Viaclovsky(MIT) |
| Differential Analysis-04.Weak Solutions
- Jeff Viaclovsky(MIT) |
| Differential Analysis-03.Definition of Green's Function for General Domains - Jeff Viaclovsky(MIT) |
| Differential Analysis-02.Harmonic Functions and Mean Value Theorem - Jeff Viaclovsky(MIT) |
| Differential Analysis-01.Examples of Harmonic Functions - Jeff Viaclovsky(MIT) |
| Measure and Integration-24.Generalized Minkowski Inequality - Jeff Viaclovsky(MIT) |
| Measure and Integration-23.Lebesgue's Differentiation Theorem - Jeff Viaclovsky(MIT) |
| Measure and Integration-22.Fundamental Theorem of Calculus for Lebesgue Integral - Jeff Viaclovsky(MIT) |
| Measure and Integration-21.Young's Inequality - Jeff Viaclovsky(MIT) |
| Measure and Integration-20.Fubini's Theorem for Product Measure - Jeff Viaclovsky(MIT) |
| Measure and Integration-19.Fubini's Theorem in R^n for L^1 Functions - Jeff Viaclovsky(MIT) |
| Measure and Integration-18.Fubini's Theorem in R^n for Non-negative Functions - Jeff Viaclovsky(MIT) |
| Measure and Integration-17.Inclusions between L^p Spaces? l^p Spaces? - Jeff Viaclovsky(MIT) |
| Measure and Integration-16.C_c Dense in L^p, 1 Leq p < Infty - Jeff Viaclovsky(MIT) |
| Measure and Integration-15.L^p Spaces, 1 Leq p Leq Infty - Jeff Viaclovsky(MIT) |
| Measure and Integration-14.Convex Functions - Jeff Viaclovsky(MIT) |
| Measure and Integration-13.Egoroff's Theorem (Pointwise Convergence is nearly uniform) - Jeff Viaclovsky(MIT) |
| Measure and Integration-12.Approximation of Measurable Functions by Continuous Functions - Jeff Viaclovsky(MIT) |
| Measure and Integration-11.Lusin's Theorem (Measurable Functions are nearly continuous) - Jeff Viaclovsky(MIT) |
| Measure and Integration-10.Integration as a Linear Functional - Jeff Viaclovsky(MIT) |
| Measure and Integration-09.Invariance of Lebesgue Measure under Translations and Dilations - Jeff Viaclovsky(MIT) |
| Measure and Integration-08.Caratheodory Criterion - Jeff Viaclovsky(MIT) |
| Measure and Integration-07.Definition of Lebesgue Measurable for Sets with Finite Outer Measure - Jeff Viaclovsky(MIT) |
| Measure and Integration-06.Lebesgue Measure on R^n - Jeff Viaclovsky(MIT) |
| Measure and Integration-05.Integral of Complex Functions - Jeff Viaclovsky(MIT) |
| Measure and Integration-04.Integral is Additive for Simple Functions - Jeff Viaclovsky(MIT) |
| Measure and Integration-03.Riemann Integral - Jeff Viaclovsky(MIT) |
| Measure and Integration-02.Real-valued Measurable Functions - Jeff Viaclovsky(MIT) |
| Measure and Integration-01.Why Measure Theory? - Jeff Viaclovsky(MIT) |
| Topics in Several Complex Variables-36.Stanley's Proof of the McMullen Conjecture - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-35.The Cohomology Groups of Toric Varieties - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-34.Toric Varieties - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-33.Kaehler Reduction and GIT Theory - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-32.Symplectic Reduction - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-31.Actions of Lie Groups on Manifolds, Hamiltonian G Actions on Symplectic Manifolds - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-30.Hodge Theory on Kaehler Manifolds (cont.) - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-29.Hodge Theory on Kaehler Manifolds - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-28.Basic Facts About Representations of SL(2,R), SL(2,R) Modules of Finite H-type - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-27.The Brylinski Conjecture and the Hard Lefchetz Theorem, Hodge Theory on Riemannian Manifolds - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-26.The Symplectic Version of the Hodge Theory (cont.) - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-25.The Symplectic Version of the Hodge Theory - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-24.The *-operator in Kaehler Geometry (cont.) - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-23.The *-operator in Kaehler Geometry - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-22.Computing the *-operator - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-21.Hodge Theory, the *-operator - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-20.Elliptic Complexes and Examples - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-19.Systems of Elliptic Operators and Elliptic Operators on Vector Bundles - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-18.Pseudodifferential Operators on Tn and Open Subsets of Tn, Elliptic Operators on Compact Manifolds - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-17.Smoothing Operators, Fourier Analysis on the n-torus - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-16.Differential Operators on Rn and Manifolds - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-15.The Fubini Study Metric on CPn - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-14.The Ricci Form and the Kaehler Einstein Equation - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-13.The Local Geometry of Kaehler Manifolds, Strictly Pluri-subharmonic Functions and Pseudoconvexity - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-12.Linear Aspects of Symplectic and Kaehler Geometry - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-11.Identification of Cech Cohomology Groups with the Cohomology Groups of the Dolbeault Complex - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-10.The DeRham Theorem for Acyclic Covers - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-09.Sheaf Theory and Sheaf Cohomology - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-08.Complex Manifolds: Affine and Projective Varieties (cont.) - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-07.Complex Manifolds: Affine and Projective Varieties - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-06.The Inverse Function Theorem and the Implicit Function Theorem for Holomorphic Mappings - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-05.The Holomorphic Version of the Poincare Lemma - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-04.Applying Hartog's Theorem, The Dolbeault Complex, Exactness of the Dolbeault Complex on Polydisks - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-03.The Inhomogeneous Cauchy-Riemann Equation in Several Variables, Hartog's Theorem - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-02.Cauchy Integral Formula (cont.), Inhomogeneous C.R. Equation, Riemann Equation in One Variable, Functions of Several Complex Variables - Victor Guillemin(MIT) |
| Topics in Several Complex Variables-01.Functions of one Complex Variable, Cauchy Integral Formula, Taylor Series, Analytic Continuation - Victor Guillemin(MIT) |
| Topics in Algebraic Number Theory Final Exam - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Midterm Exam - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Problem Set 10 - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Problem Set 9 - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Problem Set 8 - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Problem Set 7 - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Problem Set 6 - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Problem Set 5 - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Problem Set 4 - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Problem Set 3 - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Problem Set 2 - Kiran Kedlaya(MIT) |
| Topics in Algebraic Number Theory Problem Set 1 - Kiran Kedlaya(MIT) |
| Introduction to Lie Groups 7 Solutions to Exercises - Sigurdur Helgason(MIT) |
| Introduction to Lie Groups 6 Chapter II: Exercises and Further Results - Sigurdur Helgason(MIT) |
| Introduction to Lie Groups 5 Chapter I: Exercises and Further Results - Sigurdur Helgason(MIT) |
| Introduction to Lie Groups 4 Chapter II: Lie Groups and Lie Algebras 2 - Sigurdur Helgason(MIT) |
| Introduction to Lie Groups 3 Chapter II: Lie Groups and Lie Algebras 1 - Sigurdur Helgason(MIT) |
| Introduction to Lie Groups 2 Chapter I: Elementary Differential Geometry - Sigurdur Helgason(MIT) |
| Introduction to Lie Groups 1 Preface - Sigurdur Helgason(MIT) |
| Analytic Number Theory 46 Exercises 1-3 from short gaps between primes (after Goldston-Pintz-Yildirim) - (MIT) |
| Analytic Number Theory 45 Exercises 1-5 from prime k-tuples - (MIT) |
| Analytic Number Theory 44 Exercises 1-5 from the Bombieri-Vinogradov theorem (proof) - (MIT) |
| Analytic Number Theory 43 Exercises 1-2 from the Bombieri-Vinogradov theorem (statement) - (MIT) |
| Analytic Number Theory 42 Exercises 1-3 from a multiplicative large sieve inequality - (MIT) |
| Analytic Number Theory 41 Exercises 1-4 from introduction to large sieve inequalities - (MIT) |
| Analytic Number Theory 40 Exercises 1-5 from applying the Selberg sieve - (MIT) |
| Analytic Number Theory 39 Exercises 6-9 from the Selberg sieve - (MIT) |
| Analytic Number Theory 38 Exercises 1-5 from the Selberg sieve - (MIT) |
| Analytic Number Theory 37 Exercises 1-2 from Brun's combinatorial sieve - (MIT) |
| Analytic Number Theory 36 Exercises 1-6 from revisiting the sieve of Eratosthenes - (MIT) |
| Analytic Number Theory 35 Exercises 1-4 from von Mangoldt's formula - (MIT) |
| Analytic Number Theory 34 Exercises 1-6 from more on the zeroes of zeta - (MIT) |
| Analytic Number Theory 33 Exercise 1 from error bounds in the prime number theorem - (MIT) |
| Analytic Number Theory 32 Exercises 5-9 from the functional equations for Dirichlet L-functions - (MIT) |
| Analytic Number Theory 31 Exercises 1-4 from the functional equations for Dirichlet L-functions - (MIT) |
| Analytic Number Theory 30 Exercises 1-5 from the functional equation for the Riemann zeta function - (MIT) |
| Analytic Number Theory 29 Exercises 1-6 from primes in arithmetic progressions - (MIT) |
| Analytic Number Theory 28 Exercises 1-5 from Dirichlet characters and Dirichlet L-functions - (MIT) |
| Analytic Number Theory 27 Exercises 1-10 from Dirichlet series and arithmetic functions - (MIT) |
| Analytic Number Theory 26 Exercises 1-8 from the prime number theorem - (MIT) |
| Analytic Number Theory 25 The Sato-Tate distribution - (MIT) |
| Analytic Number Theory 24 Elliptic curves and their L-functions - (MIT) |
| Analytic Number Theory 23 Artin L-functions and the Chebotarev density theorem - (MIT) |
| Analytic Number Theory 22 Small gaps between primes (proofs) (again, see article by Goldston, et al.) - (MIT) |
| Analytic Number Theory 21 Small gaps between primes (after Goldston-Pintz-Yildirim) (see also the article by Soundararajan and the article by Goldston, Motohashi, Pintz, and Yildirim) - (MIT) |
| Analytic Number Theory 20 Prime k-tuples - (MIT) |
| Analytic Number Theory 19 The Bombieri-Vinogradov theorem (proof) - (MIT) |
| Analytic Number Theory 18 The Bombieri-Vinogradov theorem (statement) - (MIT) |
| Analytic Number Theory 17 A multiplicative large sieve inequality - (MIT) |
| Analytic Number Theory 16 Introduction to large sieve inequalities - (MIT) |
| Analytic Number Theory 15 Applying the Selberg sieve - (MIT) |
| Analytic Number Theory 14 The Selberg sieve - (MIT) |
| Analytic Number Theory 13 Brun's combinatorial sieve - (MIT) |
| Analytic Number Theory 12 Revisiting the sieve of Eratosthenes - (MIT) |
| Analytic Number Theory 11 Error bounds in the prime number theorem in arithmetic progressions - (MIT) |
| Analytic Number Theory 10 von Mangoldt's formula - (MIT) |
| Analytic Number Theory 9 More on the zeroes of zeta - (MIT) |
| Analytic Number Theory 8 Error bounds in the prime number theorem - (MIT) |
| Analytic Number Theory 7 Functional equations for Dirichlet L-functions - (MIT) |
| Analytic Number Theory 6 The functional equation for the Riemann zeta function - (MIT) |
| Analytic Number Theory 5 Primes in arithmetic progressions - (MIT) |
| Analytic Number Theory 4 Dirichlet characters and L-functions - (MIT) |
| Analytic Number Theory 3 Dirichlet series and arithmetic functions - (MIT) |
| Analytic Number Theory 2 The prime number theorem - (MIT) |
| Analytic Number Theory 1 Introduction to the course - Kiran Kedlaya(MIT) |
| Algebraic Topology II 23 Chern Classes and Elementary Symmetric Polynomials (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 22 Properties of Chern Classes, the Splitting Principle (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 21 Completion of a Deferred Proof, Whitney Sum, and Chern Classes (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 20 Induced Maps Between Classifying Spaces, H*(BU(n)) (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 19 Line Bundles (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 18 The Serre Spectral Sequence - Mark Behrens(MIT) |
| Algebraic Topology II 17 The Spectral Sequence of a Filtered Complex (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 16 Spectral Sequences (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 15 Eilenberg-Maclane Spaces (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 14 Proof of Hurewicz (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 13 The Hurewicz Homomorphism (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 12 Homotopy Excision (PDF ) - Mark Behrens(MIT) |
| Algebraic Topology II 11 Help! Whitehead Theorem and Cellular Approximation (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 10 Hopf Fibrations, Whitehead Theorem (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 9 Fibrations (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 8 Puppe Sequences (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 7 Cofibers (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 6 Pushouts and Pullbacks, the Homotopy Fiber (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 5 Cofibrations, Well Pointedness, Weak Equivalences, Relative Homotopy (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 4 Simple Computations, the Action of the Fundamental Groupoid (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 3 Pointed Spaces and Homotopy Groups (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 2 Compactly Generated Spaces (PDF) - Mark Behrens(MIT) |
| Algebraic Topology II 1 Category Theory (PDF) - Mark Behrens(MIT) |
| Algebraic Topology Problem Set 12 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 11 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 10 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 9 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 8 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 7 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 6 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 5 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 4 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 3 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 2 - Tyler Lawson(MIT) |
| Algebraic Topology Problem Set 1 - Tyler Lawson(MIT) |
| Topics in Geometry: Mirror Symmetry 25 Homological mirror symmetry for CP1: matrix factorizations, admissible Lagrangians, etc. - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 24 SYZ from toric degenerations (K3 case); Landau-Ginzburg models, superpotentials; example: the mirror of CP1 - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 23 SYZ continued; examples: elliptic curves, K3 surfaces - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 22 The moduli space of special Lagrangians: affine structures; mirror complex structure and K?hler form - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 21 The SYZ conjecture; special Lagrangian submanifolds and their deformations - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 20 HMS for the elliptic curve: Massey products; motivation for the SYZ conjecture - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 19 Homological mirror symmetry: the elliptic curve; theta functions and Floer products - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 18 Twisted complexes and the derived Fukaya category; Dehn twists, connected sums and exact triangles - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 17 The derived category; exact triangles; homs and exts. - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 16 Ext groups; motivation for the derived category - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 15 Defining CF(L,L) continued; discs and obstruction. Coherent sheaves, examples, introduction to ext. - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 14 Fukaya categories: first version; Floer homology twisted by flat bundles; defining CF(L,L) - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 13 Lagrangian Floer theory: product structures, A_∞ equations - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 12 Lagrangian Floer theory: Hamiltonian isotopy invariance, grading, examples - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 11 Lagrangian Floer homology - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 10 Yukawa couplings and numbers of rational curves on the quintic; introduction to homological mirror symmetry - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 9 Picard-Fuchs equation and canonical coordinates for the quintic mirror family - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 8 Canonical coordinates and mirror symmetry; the holomorphic volume form on the mirror quintic and its periods - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 7 Monodromy weight filtration, large complex structure limit, canonical coordinates - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 6 The quintic 3-fold and its mirror; complex degenerations and monodromy - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 5 Quantum cohomology and Yukawa coupling on H1,1; K?hler moduli space - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 4 Pseudoholomorphic curves, compactness, Gromov-Witten invariants - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 3 Deformations continued, Hodge theory; pseudoholomorphic curves, transversality - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 2 Deformations of complex structures - Denis Auroux(MIT) |
| Topics in Geometry: Mirror Symmetry 1 The origins of mirror symmetry: overview of the course - Denis Auroux(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 20 Visualization Tools (Note) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 19 Geographically Distributed Applications (Slide) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 18 Coding, Compression, and Overlay Network (Note) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 17 Coding, Compression, and Overlay Network (Slide) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 16 TCP (Note2) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 15 TCP (Note1) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 14 TCP (Slide) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 13 Overlay Routing Networks (Note) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 12 Overlay Routing Networks (Slide) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 11 Load Balancing Problems (Global) (Note) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 10 Load Balancing Problems (Regional) (Note) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 9 Load Balancing Problems (Regional) (Slide) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 8 Client-Server DNS (Note) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 7 DNS (Note) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 6 Routing Algorithms (cont.) (Note) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 5 Routing Algorithms (cont.) (Slide) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 4 Routing Algorithms (Note) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 3 Routing Algorithms (Slide) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 2 Introduction (Note) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Theoretical Computer Science : Internet Research Problems 1 Introduction (Slide) - Tom Leighton,Bruce Maggs, Ravi Sundaram, Shang-Hua Teng(MIT) |
| Topics in Geometry: Mirror Symmetry 1 The origins of mirror symmetry; overview of the course - Denis Auroux(MIT) |
| Topics in Geometry: Dirac Geometry 17 Lecture 21-23: Linear algebra, and T-duality. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 16 Lecture 20: Generalized complex branes of rank 1. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 15 Lecture 19: Generalized Kahler geometry, and Hodge theory on generalized Kahler manifolds. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 14 Lecture 18: Generalized Kahler geometry. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 13 Lecture 12-17: Generalized complex structures and topological obstructions, intermediate cases, spinorial description, and introduction to Hermitian geometry. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 12 Lecture 11: Integrability and spinors, and Lie bialgebroids and deformations. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 11 Lecture 10: Integrability, Dirac maps, and manifolds with Courant structure. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 10 Lecture 9: Bilinear forms on groups. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 9 Lecture 8: Dirac structures, and geometry of Lie groups. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 8 Lecture 7: Exact Courant algebroids, and Severa's classification of exact Courant algebroids. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 7 Lecture 6: Generalized Hodge star, and spinors for TM+T*M and the Courant algebroid. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 6 Lecture 5: Spinors, the spin group, a bilinear pairing on spinors, and pure spinors. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 5 Lecture 4: Geometry of V+V*, linear Dirac structures, and generalized matrices. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 4 Lecture 3: Almost complex structure, Hermitian structure, integrability of J, forms on a complex manifold, and Dolbeault cohomology. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 3 Lecture 2: Comments on previous lecture, symplectic manifolds, and Poisson geometry. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 2 Lecture 1: Smooth manifolds, geometry of foliations, and symplectic structure. - Marco Gualtieri(MIT) |
| Topics in Geometry: Dirac Geometry 1 The complete set of lecture notes - Marco Gualtieri(MIT) |
| Topics in Combinatorial Optimization 23 The Okamura-Seymour Theorem; The Wagner-Weihe Algorithm - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 22 Multiflow and Disjoint Path Problems; Two-Commodity Flows - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 21 Proof of Splitting-Off; Submodular Function Minimization - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 20 Splitting Off; $k$-Connectivity Orientations and Augmentations - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 19 Submodular Flows: Examples, Edmonds-Giles Theorem, Reduction to Matroid Intersection in Special Cases - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 18 Graph Orientations, Directed Cuts (Lucchesi-Younger Theorem), Submodular Flows - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 17 Jump Systems: Membership (cont.) - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 16 Jump Systems: Definitions, Examples, Operations, Optimization, and Membership - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 15 Matroid Matching: Examples, Complexity, Lovasz's Minmax Relation for Linear Matroids - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 14 Matroid Union, Packing and Covering with Spanning Trees, Strong Basis Exchange Properties - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 13 Matroid Intersection Polytope, Matroid Union - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 12 Matroid Intersection, Matroid Union, Shannon Switching Game - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 11 Matroid Intersection - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 10 Matroids: Representability, Greedy Algorithm, Matroid Polytope - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 9 Matroids: Defs, Dual, Minor, Representability - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 8 Total Dual Integrality, Totally Unimodularity; Matching Polytope and the Cunningham-Marsh Formula Showing TDI - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 7 Posets and Dilworth Theorem; Deduce Konig's Theorem for Bipartite Matchings; Weighted Posets and the Chain and Antichain Polytopes - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 6 Partitioning Digraphs by Paths and Covering them by Cycles; Gallai-Milgram and Bessy-Thomasse Theorems; Cyclic Orderings - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 5 Proof of the Bessy-Thomasse Result; The Cyclic Stable Set Polytope - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 4 The Matching Polytope, Total Dual Integrality, and Hilbert Bases - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 3 Cubic Graphs and Matchings, Factor-Critical Graphs, Ear Decompositions - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 2 Non-Bipartite Matching: Edmonds' Cardinality Algorithm and Proofs of Tutte-Berge Formulas and Gallai-Edmonds Decomposition - Michel Goemans(MIT) |
| Topics in Combinatorial Optimization 1 Non-Bipartite Matching: Tutte-Berge Formula, Gallai-Edmonds Decomposition, Blossoms - Michel Goemans(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 38 Epilogue - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 37 The Krull filtration - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 36 The Nil-filtration - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 35 Analytic functors revisited - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 34 Quaternionic projective space - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 33 The Sullivan conjecture revisited - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 32 The arithmetic square - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 31 p-Profinite completion of spaces - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 30 The Sullivan conjecture - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 29 Atomicity of connected p-Finite spaces - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 28 Atomicity - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 27 p-adic homotopy theory - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 26 Profinite spaces - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 25 T and the cohomology of spaces - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 24 Operations on E-infinity algebras - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 23 The Eilenberg-Moore spectral sequence - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 22 A pushout square - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 21 Free E-infinity algebras - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 20 The T-functor and unstable algebras - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 19 Properties of T - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 18 Lannes' T-functor - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 17 Injectivity of tensor products - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 16 Some unstable injectives - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 15 Finiteness conditions - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 14 The Frobenius - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 13 The dual Steenrod algebra - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 12 Free unstable algebras - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 11 Tensor products and algebras - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 10 Generating analytic functors - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 9 Injectivity of the cohomology of BV - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 8 A theorem of Gabriel-Kuhn-Popesco - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 7 Free unstable modules - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 6 Admissible monomials - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 5 The Adem relations (cont.) - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 4 The Adem relations - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 3 Basic properties of Steenrod operations - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 2 Steenrod operations - Jacob Lurie(MIT) |
| Topics in Algebraic Topology: The Sullivan Conjecture 1 Introduction - Jacob Lurie(MIT) |
| Simplicity Theory 13 Lovely Pairs - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 12 Groups: Stratified Ranks, Generic Elements and Types; Connected Components, Stabilisers - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 11 Stable Theories with a Generic Automorphism - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 10 Supersimplicity; Lascar Inequalities; Stability - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 9 Characterisation of Simplicity and Non-dividing in Terms of Abstract Notion of Independence(Taught by Cameron Freer) - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 8 Generically Transitive Relations; Amalgamation Bases, Parallelism and Canonical Bases - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 7 Examples: Hilbert Spaces, Hyperimaginary Sorts(Taught by Josh Nichols-Barrer) - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 6 Lascar Strong Types and the Independence Theorem(Partially taught by Christina Goddard) - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 5 Thickness; Total D-rank and Extension - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 4 Simplicity; Statement of the Properties of Independence; Morley Sequences; Proof of Symmetry and Transitivity from Extension - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 3 Dividing and its Basic Properties - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 2 Extraction of Indiscernible Sequences(Taught by David K. Milovich) - Itay Ben-Yaacov(MIT) |
| Simplicity Theory 1 The Basic Setting: Universal Domains - Itay Ben-Yaacov(MIT) |
| Random Matrix Theory and Its Applications 10 Slides 2 - Alan Edelman, Moe Win(MIT) |
| Random Matrix Theory and Its Applications 9 Slides 1 - Alan Edelman, Moe Win(MIT) |
| Random Matrix Theory and Its Applications 8 Report - Alan Edelman, Moe Win(MIT) |
| Random Matrix Theory and Its Applications 7 Multivariate Orthogonal Polynomials Handout - Alan Edelman, Moe Win(MIT) |
| Random Matrix Theory and Its Applications 6 Professor Edelman's Thesis with some of the Eigenvalue Density Formulas - Alan Edelman, Moe Win(MIT) |
| Random Matrix Theory and Its Applications 5 Class Handout (Chapter 9) - Alan Edelman, Moe Win(MIT) |
| Random Matrix Theory and Its Applications 4 Class Handout Addendum (Handbook of Matrix Jacobians) - Alan Edelman, Moe Win(MIT) |
| Random Matrix Theory and Its Applications 3 Class Handout (Chapter 8) - Alan Edelman, Moe Win(MIT) |
| Random Matrix Theory and Its Applications 2 Why are Random Matrices Cool? - Alan Edelman, Moe Win(MIT) |
| Random Matrix Theory and Its Applications 1 The lecture notes below are a selection of handouts that were presented and analyzed in class. Jacobian Code - Alan Edelman, Moe Win(MIT) |
| Geometry of Manifolds 35 The Immersion Theorem of Smale (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 34 The Poincar? Lemma Implies the Equality of Cech Cohomology and de Rham Cohomology (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 33 Refinement The Acyclicity of the Sheaf of p-forms (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 32 Differential Forms and de Rham's Theorem: The Poincar? Lemma and Homotopy Invariance of the de Rham Cohomology; Cech Cohomology (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 31 Differential Forms and de Rham's Theorem: The Exterior Algebra (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 30 Canonical Forms: The Frobenious Integrability Theorem; Canonical Forms: Foliations; Characterizing a Codimension One Foliation in Terms of its Normal Vector; The Holonomy of C - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 29 Canonical Forms: The Lie Derivative (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 23-28 Morse Theory (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 21-22 The Strong Whitney Embedding Theorem (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 20 Parametric Transversality (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 18-19 Smale's Sard Theorem (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 16-17 A Brief Introduction to Linear Analysis: Fredholm Operators (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 15 A Brief Introduction to Linear Analysis: Basic Definitions; A Brief Introduction to Linear Analysis: Compact Operators (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 14 Whitney's Embedding Theorem, Medium Version (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 13 Fiber Bundles (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 12 Stratified Spaces (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 10-11 Sard's Theorem (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 9 The Embedding Manifolds in RN (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 8 Connections; Partitions of Unity; The Grassmanian is Universal (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 7 Vector Bundles and the Differential: The Tangent Bundle (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 6 Vector Bundles and the Differential: New Vector Bundles from Old (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 5 More Examples (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 4 Inverse and Implicit Function Theorems (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 3 The Derivative of a Map between Vector Spaces (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 2 Smooth Maps and the Notion of Equivalence; Standard Pathologies (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 1 Manifolds: Definitions and Examples (PDF) - Tomasz Mrowka(MIT) |
| Geometry of Manifolds 32 Sol of HW#3 - Denis Auroux(MIT) |
| Geometry of Manifolds 31 Sol of HW#2 - Denis Auroux(MIT) |
| Geometry of Manifolds 30 Sol of HW#1 - Denis Auroux(MIT) |
| Geometry of Manifolds 29 HW#3 - Denis Auroux(MIT) |
| Geometry of Manifolds 28 HW#2 - Denis Auroux(MIT) |
| Geometry of Manifolds 27 HW#1 - Denis Auroux(MIT) |
| Geometry of Manifolds 26 Seiberg-Witten invariant; properties; vanishing for manifolds of positive scalar curvature; vanishing for connected sums; Taubes non-vanishing for symplectic manifolds; exampl - Denis Auroux(MIT) |
| Geometry of Manifolds 25 Seiberg-Witten equations; gauge group; moduli space; linearized equations; compactness of moduli space - Denis Auroux(MIT) |
| Geometry of Manifolds 24 Homeomorphism classification of simply connected 4-manifolds; intersection pairings; spin^c structures; spin^c connections; Dirac operator - Denis Auroux(MIT) |
| Geometry of Manifolds 23 Symplectic branched covers of symplectic 4-manifolds - Denis Auroux(MIT) |
| Geometry of Manifolds 22 Symplectic sum along codimension 2 symplectic submanifolds; Gompf's construction of symplectic 4-manifolds with arbitrary pi_1 - Denis Auroux(MIT) |
| Geometry of Manifolds 21 Symplectic fibrations; Thurston's construction of symplectic forms; symplectic Lefschetz fibrations, Gompf and Donaldson theorems - Denis Auroux(MIT) |
| Geometry of Manifolds 20 Proof of the approximation lemma; examples of compact 4-manifolds without almost-complex structures, without symplectic structures, without complex structures; Kodaira-Thursto - Denis Auroux(MIT) |
| Geometry of Manifolds 19 Donaldson's proof of the Kodaira embedding theorem: Estimates; concentrated sections; approximation lemma - Denis Auroux(MIT) |
| Geometry of Manifolds 18 Holomorphic sections and projective embeddings; ampleness; Donaldson's proof of the Kodaira embedding theorem: local model; concentrated approximately holomorphic sections - Denis Auroux(MIT) |
| Geometry of Manifolds 17 Hodge diamond; hard Lefschetz theorem; holomorphic vector bundles; canonical connection and curvature - Denis Auroux(MIT) |
| Geometry of Manifolds 16 Elliptic regularity, Green's operator; Hodge * operator and complex Hodge theory on a K?hler manifold; relation between real and complex Laplacians - Denis Auroux(MIT) |
| Geometry of Manifolds 15 Hodge * operator on a Riemannian manifold; d* operator; Laplacian, harmonic forms; Hodge decomposition theorem; differential operators; symbol, ellipticity; existence of param - Denis Auroux(MIT) |
| Geometry of Manifolds 14 K?hler forms; strictly plurisubharmonic functions; K?hler potentials; examples; Fubini-Study K?hler form; complex projective manifolds; Hodge decomposition theorem - Denis Auroux(MIT) |
| Geometry of Manifolds 13 Nijenhuis tensor; integrability; square of the dbar operator; Newlander-Nirenberg theorem; K?hler manifolds; complex projective space - Denis Auroux(MIT) |
| Geometry of Manifolds 12 Chern classes of the tangent bundle; cohomological criterion for existence of almost-complex structures on a 4-manifold, examples; splitting of tangent and cotangent bundles o - Denis Auroux(MIT) |
| Geometry of Manifolds 11 Naturality properties of Chern classes and topological definition; equivalence between the two definitions; classification of complex line bundles - Denis Auroux(MIT) |
| Geometry of Manifolds 10 Twisted de Rham operator; Levi-Civita connection on (TM,g); Chern classes of complex vector bundles (via curvature and Chern-Weil); Euler class and top Chern class - Denis Auroux(MIT) |
| Geometry of Manifolds 9 Horizontal distributions; metric connections; curvature of a connection: Intrinsic definition; expression in terms of connection 1-form - Denis Auroux(MIT) |
| Geometry of Manifolds 8 Almost-complex structures: Existence and contractibility; almost-complex submanifolds vs. symplectic submanifolds; Sp(2n), O(2n), GL(n,C), and U(n); connections: definition, co - Denis Auroux(MIT) |
| Geometry of Manifolds 7 More Floer homology; almost-complex structures; compatibility with a symplectic structure; polar decomposition; compatible triples - Denis Auroux(MIT) |
| Geometry of Manifolds 6 Tangent space to the group of symplectomorphisms; fixed points of symplectomorphisms; Arnold's conjecture; Morse theory: Gradient trajectories, Morse complex, homology; action - Denis Auroux(MIT) |
| Geometry of Manifolds 5 Tubular neighborhoods; local version of Moser's theorem; Weinstein's neighborhood theorem - Denis Auroux(MIT) |
| Geometry of Manifolds 4 Symplectic vector fields, flux; isotopy and deformation equivalence; Moser's theorem; Darboux's theorem - Denis Auroux(MIT) |
| Geometry of Manifolds 3 Symplectic form on the cotangent bundle; symplectic and Lagrangian submanifolds; conormal bundles; graphs of symplectomorphisms as Lagrangian submanifolds in products; isotopie - Denis Auroux(MIT) |
| Geometry of Manifolds 2 Cup-product and Poincar? duality in de Rham cohomology; symplectic vector spaces and linear algebra; symplectic manifolds, first examples; symplectomorphisms - Denis Auroux(MIT) |
| Geometry of Manifolds 1 Review of differential forms, Lie derivative, and de Rham cohomology - Denis Auroux(MIT) |
| Basic Probability Theory 14 Solutions to Problems Not Solved in the Text - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 13 Index - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 12 Solutions to Selected Problems - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 11 Tables and Bibliography - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 10 Chapter 8 Introduction to Statistics - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 9 Chapter 7 Markov Chains - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 8 Chapter 6 Infinite Sequences of Random Variables - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 7 Chapter 5 Characteristic Functions - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 6 Chapter 4 Conditional Probability and Expectation - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 5 Chapter 3 Expectation - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 4 Chapter 2 Random Variables - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 3 Chapter 1 Basic Concepts - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 2 Front Matter - Robert B. Ash(University of Illinois) |
| Basic Probability Theory 1 Basic Probability Theory (78 MB) - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 14 Index - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 13 Solutions to Problems - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 12 Chapter 9 Epilogue - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 11 Chapter 8 Further Topological Results - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 10 Chapter 7 Unifom Convergence and Applications - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 9 Chapter 6 Riemann-Stieltjes Integration - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 8 Chapter 5 Differentiation - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 7 Chapter 4 Continuous Functions - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 6 Chapter 3 Upper and Lower Limits of Sequences of Real Numbers - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 5 Chapter 2 Some Basic Topological Properties of R^p - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 4 Chapter 1 Introduction - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 3 Preface - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 2 Table of Contents - Robert B. Ash(University of Illinois) |
| Real Variables with Basic Metric Space Topology 1 Real Variables with Basic Metric Space Topology (78 MB) - Robert B. Ash(University of Illinois) |
| A Pari/GP Tutorial - Robert B. Ash(University of Illinois) |
| Lectures on Statistics 8 Index - Robert B. Ash(University of Illinois) |
| Lectures on Statistics 7 Solutions to Problems - Robert B. Ash(University of Illinois) |
| Lectures on Statistics 6 Lectures 21-25 - Robert B. Ash(University of Illinois) |
| Lectures on Statistics 5 Lectures 16-20 - Robert B. Ash(University of Illinois) |
| Lectures on Statistics 4 Lectures 11-15 - Robert B. Ash(University of Illinois) |
| Lectures on Statistics 3 Lectures 6-10 - Robert B. Ash(University of Illinois) |
| Lectures on Statistics 2 Lectures 1-5 - Robert B. Ash(University of Illinois) |
| Lectures on Statistics 1 Preface and Table of Contents - Robert B. Ash(University of Illinois) |
| Complex Variables 12 Index - Robert B. Ash(University of Illinois) |
| Complex Variables 11 List of Symbols - Robert B. Ash(University of Illinois) |
| Complex Variables 10 Solutions - Robert B. Ash(University of Illinois) |
| Complex Variables 9 Chapter 7 The Prime Number Theorem - Robert B. Ash(University of Illinois) |
| Complex Variables 8 Chapter 6 Factorization of Analytic Functions - Robert B. Ash(University of Illinois) |
| Complex Variables 7 Chapter 5 Families of Analytic Functions - Robert B. Ash(University of Illinois) |
| Complex Variables 6 Chapter 4 Applications of the Cauchy Theory - Robert B. Ash(University of Illinois) |
| Complex Variables 5 Chapter 3 The General Cauchy Theorem - Robert B. Ash(University of Illinois) |
| Complex Variables 4 Chapter 2 The Elementary Theory - Robert B. Ash(University of Illinois) |
| Complex Variables 3 Chapter 1 Introduction - Robert B. Ash(University of Illinois) |
| Complex Variables 2 Table of Contents - Robert B. Ash(University of Illinois) |
| Complex Variables 1 Preface - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 15 Index - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 14 List of Symbols - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 13 Solutions (8 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 12 Exercises (7 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 11 Chapter 8 Regular Local Rings (3 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 10 Chapter 7 Homological Methods (8 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 9 Chapter 6 Depth (4 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 8 Chapter 5 Dimension Theory (15 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 7 Chapter 4 Completion (10 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 6 Chapter 3 Valuation Rings (9 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 5 Chapter 2 Integral Extensions (9 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 4 Chapter 1 Primary Decomposition and Associated Primes (15 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 3 Chapter 0 Ring Theory Background (7 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 2 Table of Contents - Robert B. Ash(University of Illinois) |
| A Course In Commutative Algebra 1 Preface - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 14 Index - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 13 Solutions - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 12 Appendices (12 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 11 Chapter 9 Local Fields (11 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 10 Chapter 8 Factoring of Prime Ideals in Galois Extensions (8 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 9 Chapter 7 Cyclotomic Extensions (7 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 8 Chapter 6 The Dirichlet Unit Theorem (7 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 7 Chapter 5 The Ideal Class Group (7 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 6 Chapter 4 Factoring of Prime Ideals in Extensions (9 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 5 Chapter 3 Dedekind Domains (9 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 4 Chapter 2 Norms, Traces and Discriminants (12 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 3 Chapter 1 Introduction (8 pp.) - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 2 Table of Contents - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory 1 Preface - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 17 End Bibliography, List of Symbols and Index (233 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 16 Solutions Chapters 6-10 (449 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 15 Solutions Chapters 1-5 (461 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 14 Supplement (315 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 13 Chapter 10 Introducing Homological Algebra(437 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 12 Chapter 9 Introducing Noncommutative Algebra (350 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 11 Chapter 8 Introducing Algebraic Geometry(448 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 10 Chapter 7 Introducing Algebraic Number Theory (410 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 9 Chapter 6 Galois Theory (480 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 8 Chapter 5 Some Basic Techniques of Group Theory (405 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 7 Enrichment Chapters 1-4 (288 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 6 Chapter 4 Module Fundamentals (357 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 5 Chapter 3 Field Fundamentals (135 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 4 Chapter 2 Ring Fundamentals (222 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 3 Chapter 1 Group Fundamentals (150 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 2 Chapter 0 Prerequisites (194 K) - Robert B. Ash(University of Illinois) |
| Abstract Algebra: The Basic Graduate Year 1 Front Preface and Table of Contents (110 K) - Robert B. Ash(University of Illinois) |
| Advanced Calculus for Engineers - Review of Boundary Value Problems for Nonhomogeneous PDEs - John Bush
(MIT) |
| Advanced Calculus for Engineers - Complete Fourier Series - John Bush
(MIT) |
| Advanced Calculus for Engineers - Fourier Sine and Cosine Series - John Bush
(MIT) |
| Advanced Calculus for Engineers - Fourier Series - John Bush
(MIT) |
| Advanced Calculus for Engineers - Sturm-Liouville Problem - John Bush
(MIT) |
| Advanced Calculus for Engineers - Boundary Value Problems for Nonhomogeneous PDEs - John Bush
(MIT) |
| Advanced Calculus for Engineers - Eigenvalues, Eigenfunctions, Orthogonality of Eigenfunctions - John Bush
(MIT) |
| Advanced Calculus for Engineers - Introduction to Boundary-Value Problems - John Bush
(MIT) |
| Advanced Calculus for Engineers - Differential Equations Satisfied by Bessel Functions - John Bush
(MIT) |
| Advanced Calculus for Engineers - Modified Bessel Functions - John Bush
(MIT) |
| Advanced Calculus for Engineers - Properties of Bessel Functions - John Bush
(MIT) |
| Advanced Calculus for Engineers - Bessel Functions - John Bush
(MIT) |
| Advanced Calculus for Engineers - Frobenius Method (cont.) and a particular type of ODE - John Bush
(MIT) |
| Advanced Calculus for Engineers - Frobenius Method - Examples - John Bush
(MIT) |
| Advanced Calculus for Engineers - Frobenius Method - John Bush
(MIT) |
| Advanced Calculus for Engineers - Singular Points of Linear Second-order ODEs - John Bush
(MIT) |
| Advanced Calculus for Engineers - Ordinary Differential Equations - John Bush
(MIT) |
| Advanced Calculus for Engineers - Series and Convergence - John Bush
(MIT) |
| Advanced Calculus for Engineers - Theorems for Contour Integration - John Bush
(MIT) |
| Advanced Calculus for Engineers - Evaluation of Real Definite Integrals, Case IV - John Bush
(MIT) |
| Advanced Calculus for Engineers - Evaluation of Real Definite Integrals, Case III - John Bush
(MIT) |
| Advanced Calculus for Engineers - Evaluation of Real Definite Integrals, Case II - John Bush
(MIT) |
| Advanced Calculus for Engineers - Evaluation of Real Definite Integrals, Case I - John Bush
(MIT) |
| Advanced Calculus for Engineers - Residue Theorem - John Bush
(MIT) |
| Advanced Calculus for Engineers - Singularities (cont.) - John Bush
(MIT) |
| Advanced Calculus for Engineers - Properties of Laurent Series, Singularities - John Bush
(MIT) |
| Advanced Calculus for Engineers - Laurent Series (cont.) - John Bush
(MIT) |
| Advanced Calculus for Engineers - Taylor Series, Laurent Series - John Bush
(MIT) |
| Advanced Calculus for Engineers - Cauchy's Formula, Properties of Analytic Functions - John Bush
(MIT) |
| Advanced Calculus for Engineers - Complex Integrals - John Bush
(MIT) |
| Advanced Calculus for Engineers - Analytic Functions - John Bush
(MIT) |
| Advanced Calculus for Engineers - Branch Points and Branch Cuts - John Bush
(MIT) |
| Advanced Calculus for Engineers - Elementary Complex Functions, Part 2 - John Bush
(MIT) |
| Advanced Calculus for Engineers - Elementary Complex Functions, Part 1 - John Bush
(MIT) |
| Advanced Calculus for Engineers - Number Systems and Algebra of Complex Numbers - John Bush
(MIT) |
| Seminar in Geometry - Gauss Maps and Minimal Surfaces - Emma Carberry(MIT) |
| Seminar in Geometry - Weierstrass-Enneper Representations - Emma Carberry(MIT) |
| Seminar in Geometry - Complete Minimal Surfaces II - Emma Carberry(MIT) |
| Seminar in Geometry - Complete Minimal Surfaces I - Emma Carberry(MIT) |
| Seminar in Geometry - Manifolds and Geodesics II - Emma Carberry(MIT) |
| Seminar in Geometry - Manifolds and Geodesics I - Emma Carberry(MIT) |
| Seminar in Geometry - Bernstein's Theorem - Emma Carberry(MIT) |
| Seminar in Geometry - Isothermal Parameters - Emma Carberry(MIT) |
| Seminar in Geometry - Review on Complex Analysis II - Emma Carberry(MIT) |
| Seminar in Geometry - Review on Complex Analysis I - Emma Carberry(MIT) |
| Seminar in Geometry - Introduction to Minimal Surfaces II - Emma Carberry(MIT) |
| Seminar in Geometry - Introduction to Minimal Surfaces I - Emma Carberry(MIT) |
| Seminar in Geometry - Gauss Map III: Local Coordinates - Emma Carberry(MIT) |
| Seminar in Geometry - Gauss Map II: Geometric Interpretation - Emma Carberry(MIT) |
| Seminar in Geometry - Gauss Map I: Background and Definition - Emma Carberry(MIT) |
| Seminar in Geometry - Curves - Emma Carberry(MIT) |
| Seminar in Geometry - First Fundamental Form - Emma Carberry(MIT) |
| Seminar in Geometry - Implicit Function Theorem - Emma Carberry(MIT) |
| Seminar in Geometry - Inverse Function Theorem - Emma Carberry(MIT) |
| Seminar in Geometry - A Review on Differentiation - Emma Carberry(MIT) |
| Seminar in Geometry - Introduction - Emma Carberry(MIT) |
| Differential Geometry - Chapter 4: Geometry of lengths and distances - Paul Seidel
(MIT) |
| Differential Geometry - Chapter 3: Global geometry of hypersurfaces - Paul Seidel
(MIT) |
| Differential Geometry - Chapter 2: Local geometry of hypersurfaces - Paul Seidel
(MIT) |
| Differential Geometry - Chapter 1: Local and global geometry of plane curves - Paul Seidel
(MIT) |
| Introduction to Topology - Imbedding in Euclidean Space (cont.) - James Munkres
(MIT) |
| Introduction to Topology - Imbedding in Euclidean Space - James Munkres
(MIT) |
| Introduction to Topology - Tychonoff Theorem, Stone-Cech Compactification - James Munkres
(MIT) |
| Introduction to Topology - Tietze Theorem (cont.) - James Munkres
(MIT) |
| Introduction to Topology - Tietze Theorem - James Munkres
(MIT) |
| Introduction to Topology - Urysohn Lemma, Metrization (cont.) - James Munkres
(MIT) |
| Introduction to Topology - Urysohn Lemma, Metrization - James Munkres
(MIT) |
| Introduction to Topology - Countability and Separation Axioms - James Munkres
(MIT) |
| Introduction to Topology - Well-ordered Sets, Maximum Principle - James Munkres
(MIT) |
| Introduction to Topology - Connected Spaces, Compact Spaces - James Munkres
(MIT) |
| Introduction to Topology - Logic and Foundations - James Munkres
(MIT) |
| Theory of Numbers - Advanced Topics - Martin Olsson(MIT) |
| Theory of Numbers - More Calculations - Martin Olsson(MIT) |
| Theory of Numbers - Mazur's Theorem and Calculating the Torsion Subgroup - Martin Olsson(MIT) |
| Theory of Numbers - Abelian Groops, Torsion Points and Finite Generation of Group of Torsion Points - Martin Olsson(MIT) |
| Theory of Numbers - More on Elliptic Curves - Martin Olsson(MIT) |
| Theory of Numbers - Elliptic Curves - Martin Olsson(MIT) |
| Theory of Numbers - Singular Points and Smoothness - Martin Olsson(MIT) |
| Theory of Numbers - More on Curves in Projective Space and Statement of Falting's Theorem (Mordell Conjecture) - Martin Olsson(MIT) |
| Theory of Numbers - Curves in Projective Space - Martin Olsson(MIT) |
| Theory of Numbers - More on Continued Fractions (cont.) and Solving Equations - Martin Olsson(MIT) |
| Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson(MIT) |
| Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson(MIT) |
| Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson(MIT) |
| Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson(MIT) |
| Theory of Numbers - More on Continued Fractions - Martin Olsson(MIT) |
| Theory of Numbers - Continued Fractions - Martin Olsson(MIT) |
| Theory of Numbers - More on Quadratic Reciprocity - Martin Olsson(MIT) |
| Theory of Numbers - Quadratic Reciprocity - Martin Olsson(MIT) |
| Theory of Numbers - More on Quadratic Residues (cont.) - Martin Olsson(MIT) |
| Theory of Numbers - More on Quadratic Residues - Martin Olsson(MIT) |
| Theory of Numbers - Quadratic Residue Symbol - Martin Olsson(MIT) |
| Theory of Numbers - More on Solving Equations Modulo Primes - Martin Olsson(MIT) |
| Theory of Numbers - Solving Equations Modulo Primes - Martin Olsson(MIT) |
| Theory of Numbers - Hensel's Lemma - Martin Olsson(MIT) |
| Theory of Numbers - RSA Cryptography - Martin Olsson(MIT) |
| Theory of Numbers - Chinese Remainder Theorem - Martin Olsson(MIT) |
| Theory of Numbers - More on Factorization - Martin Olsson(MIT) |
| Theory of Numbers - Residue Systems, Fermat's Little Theorem, Euler's Theorem, and Wilson's Theorem - Martin Olsson(MIT) |
| Theory of Numbers - Congruences - Martin Olsson(MIT) |
| Theory of Numbers - Binomial Theorem and Congruences - Martin Olsson(MIT) |
| Theory of Numbers - Prime Factorization and Binomial - Martin Olsson(MIT) |
| Theory of Numbers - More on Greatest Common Divisor and Division Algorithm - Martin Olsson(MIT) |
| Theory of Numbers - Greatest Common Divisor - Martin Olsson(MIT) |
| Theory of Numbers - Divisibility - Martin Olsson(MIT) |
| Introduction to Representation Theory - Chapter 7: Structure of Finite Dimensional Algebras - Pavel Etingof(MIT) |
| Introduction to Representation Theory - Chapter 6: Introduction to Categories - Pavel Etingof(MIT) |
| Introduction to Representation Theory - Chapter 5: Quiver Representations - Pavel Etingof(MIT) |
| Introduction to Representation Theory - Chapter 4: Representations of Finite Groups: Further Results - Pavel Etingof(MIT) |
| Introduction to Representation Theory - Chapter 3: Representations of Finite Groups: Basic Results - Pavel Etingof(MIT) |
| Introduction to Representation Theory - Chapter 2: General Results of Representation Theory - Pavel Etingof(MIT) |
| Introduction to Representation Theory - Chapter 1: Basic Notions of Representation Theory - Pavel Etingof(MIT) |
| Experiments with MATLAB 19 Sudoku (11 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 18 Orbits (17 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 17 Shallow Water Equations (4 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 16 Predators and Prey (7 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 15 Exponential Function (11 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 14 Ordinary Differental Equations (12 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 13 Google PageRank (13 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 12 Linear Equations (7 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 11 Mandelbrot Set (15 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 10 Game of Life (9 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 9 TicTacToe Magic (4 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 8 Magic Squares (15 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 7 Fractal Fern (8 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 6 Matrices (13 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 5 T Puzzle (8 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 4 Calendars and Clocks (7 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 3 Fibonacci Numbers (10 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 2 Iteration (13 pages) - Cleve Moler(The MathWorks) |
| Experiments with MATLAB 1 Preface (5 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 12 Partial Differential Equations (21 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 11 Eigenvalues and Singular Values (39 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 10 Random Numbers (15 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 9 Fourier Analysis (21 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 8 Ordinary Differential Equations (53 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 7 Quadrature (21 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 6 Least Squares (27 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 5 Zeros and Roots (25 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 4 Interpolation (27 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 3 Linear Equations (43 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 2 Introduction to MATLAB (55 pages) - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB 1 Preface (5 pages) - Cleve Moler(The MathWorks) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Congruent Numbers and Elliptic Curves II: Koblitz - Part 2 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Congruent Numbers and Elliptic Curves I: Koblitz - Part 1 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Proof of the DAT, Further Developments - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - The Auxiliary Polynomial Does Not Vanish - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - The Auxiliary Polynomial is Small - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Construction of an Auxiliary Polynomial - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Thue''s Theorem - Part 2 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Taxicabs - Part 2, Thue''s Theorem - Part 1 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Integer Points on Cubics, Taxicabs - Part 1 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Factorization using Elliptic Curves - Part 2 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Factorization using Elliptic Curves - Part 1 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Points of Finite Order Revisited - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Gauss''s Theorem - Part 2 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Gauss''s Theorem - Part 1 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Rational Points over Finite Fields - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Singular Cubics - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Examples - Part 3 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Examples - Part 2 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Mordell''s Theorem - Part 2, Examples - Part 1 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Mordell''s Theorem - Part 1 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - A Useful Homomorphism - Part 2 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - A Useful Homomorphism - Part 1 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Height of 2P - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Height of P + P_0 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Heights and Descent - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Real and Complex Points on Cubics - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Points of Finite Order have Integer Coordinates - Part 3, The Nagell-Lutz Theorem - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Points of Finite Order have Integer Coordinates - Part 2 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - The Discriminant, Points of Finite Order have Integer Coordinates - Part 1 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Points of Order Two and Three - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Explicit Formulas for the Group Law - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Weierstrass Normal Form - Part2 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Weierstrass Normal Form - Part1 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Geometry of Cubic Curves - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Rational Points on Conics - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - Curves in the Projective Plane - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - The Projective Plane - Part2 - Daniel Rogalski(MIT) |
| Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves - The Projective Plane - Part1 - Daniel Rogalski(MIT) |
| Algebra II - The Orthogonality Relations - Michael Artin(MIT) |
| Algebra II - Permutations - Michael Artin(MIT) |
| Algebra II - Splitting Fields - Michael Artin(MIT) |
| Algebra II - Function Fields - Michael Artin(MIT) |
| Algebra II - Groups of Order 28 - Michael Artin(MIT) |
| Algebra II - Character Table for a Nonabelian Group of Order 55 - Michael Artin(MIT) |
| Algebra I - Greatest Common Divisor and Least Common Multiple - Michael Artin(MIT) |
| Algebra I - Congruence of Integers - Michael Artin(MIT) |
| Algebra I - Rotations and Isometries - Michael Artin(MIT) |
| Algebra I - The Alternating Group - Michael Artin(MIT) |
| Algebra I - Normal Subgroups of SL2 - Michael Artin(MIT) |
| Algebra I - Permutation Matrices - Michael Artin(MIT) |
| Algebra I - Permutations - Michael Artin(MIT) |
| Algebra I - The Multiplicative Group of Integers Modulo - Michael Artin(MIT) |
| Algebra I - Isometries - Michael Artin(MIT) |
| Algebra I - Plane Crystallographic Groups with Point Group D1 - Michael Artin(MIT) |
| Algebra I - Stereographic projection of the Hopf Fibration Matlab Program - Michael Artin(MIT) |
| Algebra I - Geometry of C^2 - Michael Artin(MIT) |
| Algebra I - Symmetric Forms - Michael Artin(MIT) |
| Algebra I - The Spectral Theorem - Michael Artin(MIT) |
| Algebra I - Geometry of the Special Unitary Group - Michael Artin(MIT) |
| Algebra I - The Matrix Exponential - Michael Artin(MIT) |
| Statistics for Applications - Classification Problem - Dmitry Panchenko(MIT) |
| Statistics for Applications - Statistical Inference in Simple Linear Regression - Dmitry Panchenko(MIT) |
| Statistics for Applications - Joint Distribution of the Estimates - Dmitry Panchenko(MIT) |
| Statistics for Applications - Simple Linear Regression, Method of Least Squares, Simple Linear Regression - Dmitry Panchenko(MIT) |
| Statistics for Applications - Kolmogorov-Smirnov Test - Dmitry Panchenko(MIT) |
| Statistics for Applications - Test of Homogeneity - Dmitry Panchenko(MIT) |
| Statistics for Applications - Test of Independence - Dmitry Panchenko(MIT) |
| Statistics for Applications - Goodness-of-Fit Test for Composite Hypotheses - Dmitry Panchenko(MIT) |
| Statistics for Applications - Goodness-of-Fit Test, Goodness-of-Fit Test for Continuous Distribution - Dmitry Panchenko(MIT) |
| Statistics for Applications - Pearson''s Theorem - Dmitry Panchenko(MIT) |
| Statistics for Applications - One Sided Hypotheses (cont.) - Dmitry Panchenko(MIT) |
| Statistics for Applications - Monotone Likelihood Ratio, One Sided Hypotheses - Dmitry Panchenko(MIT) |
| Statistics for Applications - Randomized Most Powerful Test, Composite Hypotheses. Uniformly Most Powerful Test - Dmitry Panchenko(MIT) |
| Statistics for Applications - Most Powerful Test for Two Simple Hypotheses - Dmitry Panchenko(MIT) |
| Statistics for Applications - Testing Hypotheses, Testing Simple Hypotheses, Bayes Decision Rules - Dmitry Panchenko(MIT) |
| Statistics for Applications - Confidence Intervals for Parameters of Normal Distribution - Dmitry Panchenko(MIT) |
| Statistics for Applications - Fisher and Student Distributions - Dmitry Panchenko(MIT) |
| Statistics for Applications - Orthogonal Transformation of Standard Normal Sample - Dmitry Panchenko(MIT) |
| Statistics for Applications - Estimates of Parameters of Normal Distribution - Dmitry Panchenko(MIT) |
| Statistics for Applications - Minimal Jointly Sufficient Statistics- χ^2 Distribution - Dmitry Panchenko(MIT) |
| Statistics for Applications - Jointly Sufficient Statistics, Improving Estimators Using Sufficient Statistics, Rao-Blackwell Theorem - Dmitry Panchenko(MIT) |
| Statistics for Applications - Sufficient Statistic - Dmitry Panchenko(MIT) |
| Statistics for Applications - Bayes Estimators, Conjugate Prior Distributions - Dmitry Panchenko(MIT) |
| Statistics for Applications - Prior and Posterior Distributions - Dmitry Panchenko(MIT) |
| Statistics for Applications - Gamma Distribution, Beta Distribution - Dmitry Panchenko(MIT) |
| Statistics for Applications - Efficient Estimators - Dmitry Panchenko(MIT) |
| Statistics for Applications - Rao-Cramer Inequality - Dmitry Panchenko(MIT) |
| Statistics for Applications - Consistency of MLE, - Dmitry Panchenko(MIT) |
| Statistics for Applications - Maximum Likelihood Estimators - Dmitry Panchenko(MIT) |
| Statistics for Applications - Method of Moments - Dmitry Panchenko(MIT) |
| Statistics for Applications - Some Probability Distributions - Dmitry Panchenko(MIT) |
| Statistics for Applications - Introduction - Dmitry Panchenko(MIT) |
| Combinatorial Optimization - Approximation Algorithms - Santosh Vempala(MIT) |
| Combinatorial Optimization - NP-completeness - Santosh Vempala(MIT) |
| Combinatorial Optimization - Separation Oracles - Santosh Vempala(MIT) |
| Combinatorial Optimization - The Ellipsoid Algorithm - Santosh Vempala(MIT) |
| Combinatorial Optimization - The Primal-dual Algorithm - Santosh Vempala(MIT) |
| Combinatorial Optimization - The Simplex Algorithm - Santosh Vempala(MIT) |
| Combinatorial Optimization - Linear Programs - Santosh Vempala(MIT) |
| Combinatorial Optimization - Minimum Cuts - Santosh Vempala(MIT) |
| Combinatorial Optimization - Flow Duality and Algorithms - Santosh Vempala(MIT) |
| Combinatorial Optimization - The Matching Polytope_ General Graphs - Santosh Vempala(MIT) |
| Combinatorial Optimization - The Matching Polytope_ Bipartite Graphs - Santosh Vempala(MIT) |
| Combinatorial Optimization - Polyhedral Combinatorics - Santosh Vempala(MIT) |
| Combinatorial Optimization - Matching Algorithms - Santosh Vempala(MIT) |
| Introduction to Modeling and Simulation - Quantum modeling of solids: advanced properties of materials - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Quantum modeling of solids: basic properties of materials - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - From atoms to solids - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - From many-body to single-particle: quantum modeling of molecules - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Practice makes perfect - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - The theory of quantum mechanics - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Review - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Application to mechanics of materials: ductile materials - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Application to mechanics of materials: brittle materials - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Interatomic potential and force field (cont.) - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Interatomic potential and force field - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Basic molecular dynamics - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Basic statistical mechanics - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Introduction to atomistic modeling - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - The finite element method (part V) - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - The finite element method (part IV) - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - The finite element method (part III) - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - The finite element method (part II) - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - The finite element method (part I) - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Energy formulations and the Ritz method - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Weighted residual and weak formulations - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Continuous systems - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Analysis_ formulation of discrete mathematical models - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Quantum mechanical methods - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Atomistic and molecular methods - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Continuum methods - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Introduction to Modeling and Simulation - Introduction: general info - Markus Buehler & Raul Radovitzky & Timo Thonhauser(MIT) |
| Nonlinear Dynamics I: Chaos - Intermittency (and Quasiperiodicity) - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Period Doubling Route to Chaos - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Lyapunov Exponents - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Fractals - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Experimental Attractors - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Henon Attractor - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Lorenz Equations - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Introduction to Strange Attractors - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Fluid Dynamics and Rayleigh-Benard Convection - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Poincare Sections - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Fourier Transforms - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Parametric Oscillator - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Forced Oscillators and Limit Cycles - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Damped Oscillators and Dissipative Systems - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Conservation of Volume in Phase Space - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Stability of Solutions to ODEs - Daniel Rothman(MIT) |
| Nonlinear Dynamics I: Chaos - Pendulum - Daniel Rothman(MIT) |
| Applied Parallel Computing - Chapter 12: Support Vector Machines and Singular Value Decomposition - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 11: Mesh Generation - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 10: Partitioning and Load Balancing - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 9: Particle Methods - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 8: Domain Decomposition - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 7: FFT - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 6: Parallel Machines - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 5: Sparse Linear Algebra - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 4: Dense Linear Algebra - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 3: Parallel Prefix - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 2: MPI, OpenMP, MATLAB - Alan Edelman(MIT) |
| Applied Parallel Computing - Chapter 1: Introduction - Alan Edelman(MIT) |
| Principles of Applied Mathematics - Strassen''s fast multiplication of matrices, algorithm and spreadsheet matrix multiplications - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Matching - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Duality in linear programming - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Linear programming - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Sequential choice - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - FFT and multiplication of numbers - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - The finite Fourier transform - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Counting patterns_ generating functions (cont.) - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Counting patterns_ generating functions - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Symmetries - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Counting trees - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Planarity and coloring_ matching problems (cont.) - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Planarity and coloring_ matching problems - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Some graph theory - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Quadratic sieve and elliptic curves - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Factoring numbers - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Secret coding 2 - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Coding for secrecy - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Properties and generalizations of our BCH codes - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Correcting errors in BCH codes - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - BCH codes: constructing them and finding the syndrome of a message - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Polynomial codes - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Matrix hamming codes - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Coding for error correction: the Shannon bound - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Theory of probability - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Huffman and Hu-Tucker algorithms; finding efficient compression (cont.) - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Huffman and Hu-Tucker algorithms; finding efficient compression - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Shannon source coding: coding for efficiency - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Non-adaptive sorting: Batcher''s algorithm - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Finding the median - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Sorting - Daniel Kleitman & Peter Shor
(MIT) |
| Principles of Applied Mathematics - Non-adaptive weighing - Daniel Kleitman & Peter Shor
(MIT) |
| Linear Partial Differential Equations - Green''s Functions - Matthew Hancock(MIT) |
| Linear Partial Differential Equations - Infinite Domain Problems and the Fourier Transform - Matthew Hancock(MIT) |
| Linear Partial Differential Equations - The Heat and Wave Equations in 2D and 3D - Matthew Hancock(MIT) |
| Linear Partial Differential Equations - Quasi Linear PDEs - Matthew Hancock(MIT) |
| Linear Partial Differential Equations - 1D Wave Equation - Matthew Hancock(MIT) |
| Linear Partial Differential Equations - 1D Heat Equation - Matthew Hancock(MIT) |
| Geometry and Quantum Field Theory - Chapter 11: Free Field Theories in Higher Dimensions - Pavel Etingof(MIT) |
| Geometry and Quantum Field Theory - Chapter 10: Quantum Mechanics for Fermions - Pavel Etingof(MIT) |
| Geometry and Quantum Field Theory - Chapter 9: Fermionic Integrals - Pavel Etingof(MIT) |
| Geometry and Quantum Field Theory - Chapter 8: Operator Approach to Quantum Mechanics - Pavel Etingof(MIT) |
| Geometry and Quantum Field Theory - Chapter 7: Quantum Mechanics - Pavel Etingof(MIT) |
| Geometry and Quantum Field Theory - Chapter 6: Matrix Integrals and Counting Planar Diagrams - Pavel Etingof(MIT) |
| Geometry and Quantum Field Theory - Chapter 5: The Euler Characteristic of the Moduli Space of Curves - Pavel Etingof(MIT) |
| Geometry and Quantum Field Theory - Chapter 4: Matrix Integrals - Pavel Etingof(MIT) |
| Geometry and Quantum Field Theory - Chapter 3: Feynman Calculus - Pavel Etingof(MIT) |
| Geometry and Quantum Field Theory - Chapter 2: The Steepest Descent and Stationary Phase Formulas - Pavel Etingof(MIT) |
| Geometry and Quantum Field Theory - Chapter 1: Generalities on Quantum Field Theory - Pavel Etingof(MIT) |
| Introduction to Partial Differential Equations - Poisson Formula - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Laplace''s Equation and Special Domains - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Inhomogeneous Problems - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Convergence of Fourier Series and L^2 Theory - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - (Generalized) Fourier Series (cont.) - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - (Generalized) Fourier Series - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Spectral Methods - Separation of Variables (cont.) - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Spectral Methods - Separation of Variables - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Inhomogeneous PDE''s (cont.) - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Inhomogeneous PDE''s - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Heat and Wave Equations in Half Space and in Intervals - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Tempered Distributions, Convolutions, Solutions of PDE''s by Fourier Transform (cont.) - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - The Inversion Formula for the Fourier Transform, Tempered Distributions, Convolutions, Solutions of PDE''s by Fourier Transform - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Solution of the Heat and Wave Equations in R^n via the Fourier Transform - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Fourier Transform - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - The Heat/Diffusion Equation (cont.) - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - The Heat/Diffusion Equation - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - The Wave Equation - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Distributions (cont.) - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Types of PDE''s Distributions - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Initial and Boundary Values Problems - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - First-order Linear PDE''s , PDE''s from Physics - Gigliola Staffilani & Andras Vasy(MIT) |
| Introduction to Partial Differential Equations - Introduction and Basic Facts about PDE''s - Gigliola Staffilani & Andras Vasy(MIT) |
| Functions of a Complex Variable - The extension of the zeta function to C, the functional equation - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - The prime number theorem: the history of the theorem and the proof, the details of the proof - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - The Riemann mapping theorem - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Normal families: equiboundedness for holomorphic functions, Arzela''s theorem - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Infinite products: Weierstrass'' canonical products, the gamma function - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Mittag-Leffer''s theorem: Laurent series, partial fractions expansions - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Harmonic functions: harmonic functions and holomorphic functions, Poisson''s formula, Schwarz''s theorem - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Contour integration and applications: evaluation of definite integrals, careful handling of the logarithm - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - The residue theorem and applications: calculation of residues, argument principle and Rouch?''s theorem - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - The general Cauchy theorem - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - The local mapping; Schwarz''s lemma and non-Euclidean interpretation: topological features, the maximum modulus theorem - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Isolated singularities - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - The special cauchy formula and applications: removable singularities, the complex taylor''s theorem with remainder - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Cauchy-Goursat theorem - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Line integrals: path independence and its equivalence to the existence of a primitive - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Linear transformations (cont.): cross ratio, symmetry, role of circles - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Conformal maps_ linear transformations: analytic functions and elementary geometric properties, conformality and scalar invariance - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Exponentials and trigonometric functions - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Power series: complex power series, uniform convergence - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Analytic functions_ rational functions: the role of the Cauchy-Riemann equations - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - Exponential function and logarithm for a complex argument: the complex exponential and trigonometric functions, dealing with the complex logarithm - Sigurdur Helgason(MIT) |
| Functions of a Complex Variable - The algebra of complex numbers: the geometry of the complex plane, the spherical representation - Sigurdur Helgason(MIT) |
| Fourier Analysis - Hilbert-Schmidt Operators - Richard Melrose(MIT) |
| Fourier Analysis - Spectral Theorem - Richard Melrose(MIT) |
| Fourier Analysis - Compact Operators - Richard Melrose(MIT) |
| Fourier Analysis - Bounded Operators - Richard Melrose(MIT) |
| Fourier Analysis - Wave Equation - Richard Melrose(MIT) |
| Fourier Analysis - Sobolev Spaces - Richard Melrose(MIT) |
| Fourier Analysis - Completeness of Eigenfunctions - Richard Melrose(MIT) |
| Fourier Analysis - Harmonic Oscillator - Richard Melrose(MIT) |
| Fourier Analysis - Approximation - Richard Melrose(MIT) |
| Fourier Analysis - Fourier Transform - Richard Melrose(MIT) |
| Fourier Analysis - Schwartz Functions - Richard Melrose(MIT) |
| Fourier Analysis - Riesz Representation Theorem - Richard Melrose(MIT) |
| Fourier Analysis - Completeness - Richard Melrose(MIT) |
| Fourier Analysis - Convergence of Fourier Series - Richard Melrose(MIT) |
| Fourier Analysis - Bessel''s Inequality - Richard Melrose(MIT) |
| Fourier Analysis - Integrable Functions - Richard Melrose(MIT) |
| Fourier Analysis - Fatou''s Lemma - Richard Melrose(MIT) |
| Fourier Analysis - Linearity - Richard Melrose(MIT) |
| Fourier Analysis - The Integral - Richard Melrose(MIT) |
| Fourier Analysis - Measurable Functions - Richard Melrose(MIT) |
| Fourier Analysis - Law of Large Numbers - Richard Melrose(MIT) |
| Fourier Analysis - Chebyshev''s Inequality - Richard Melrose(MIT) |
| Fourier Analysis - Measures - Richard Melrose(MIT) |
| Fourier Analysis - Introduction - Richard Melrose(MIT) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions53 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions52 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions51 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions50 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions49 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions48 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions47 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions46 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions45 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions44 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions43 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions42 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions41 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions40 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions39 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions38 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions37 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions36 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions35 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions34 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions33 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions32 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions31 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions30 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions29 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions28 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions27 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions26 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions25 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions24 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions23 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions22 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions21 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions20 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions19 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions18 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions17 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions16 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions15 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions14 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions13 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions12 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions11 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions10 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions9 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions8 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions7 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions6 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions5 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions4 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions3 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions2 - Robert Vanderbei(Princeton University) |
| OPERATIONS RESEARCH - Linear Programming: Foundations and Extensions1 - Robert Vanderbei(Princeton University) |
| LINEAR ALGEBRA - Linear Algebra and Applications Textbook - Thomas S. Shores(University of Nebraska) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra11 - Edwin H. Connell(University of Miami) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra10 - Edwin H. Connell(University of Miami) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra9 - Edwin H. Connell(University of Miami) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra8 - Edwin H. Connell(University of Miami) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra7 - Edwin H. Connell(University of Miami) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra6 - Edwin H. Connell(University of Miami) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra5 - Edwin H. Connell(University of Miami) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra4 - Edwin H. Connell(University of Miami) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra3 - Edwin H. Connell(University of Miami) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra2 - Edwin H. Connell(University of Miami) |
| LINEAR ALGEBRA - Elements of Abstract and Linear Algebra1 - Edwin H. Connell(University of Miami) |
| Social Network Analysis29 - Steve Borgatti(University of Essex) |
| Social Network Analysis28 - Steve Borgatti(University of Essex) |
| Social Network Analysis27 - Steve Borgatti(University of Essex) |
| Social Network Analysis26 - Steve Borgatti(University of Essex) |
| Social Network Analysis25 - Steve Borgatti(University of Essex) |
| Social Network Analysis24 - Steve Borgatti(University of Essex) |
| Social Network Analysis23 - Steve Borgatti(University of Essex) |
| Social Network Analysis22 - Steve Borgatti(University of Essex) |
| Social Network Analysis21 - Steve Borgatti(University of Essex) |
| Social Network Analysis20 - Steve Borgatti(University of Essex) |
| Social Network Analysis19 - Steve Borgatti(University of Essex) |
| Social Network Analysis18 - Steve Borgatti(University of Essex) |
| Social Network Analysis17 - Steve Borgatti(University of Essex) |
| Social Network Analysis16 - Steve Borgatti(University of Essex) |
| Social Network Analysis15 - Steve Borgatti(University of Essex) |
| Social Network Analysis14 - Steve Borgatti(University of Essex) |
| Social Network Analysis13 - Steve Borgatti(University of Essex) |
| Social Network Analysis12 - Steve Borgatti(University of Essex) |
| Social Network Analysis11 - Steve Borgatti(University of Essex) |
| Social Network Analysis10 - Steve Borgatti(University of Essex) |
| Social Network Analysis9 - Steve Borgatti(University of Essex) |
| Social Network Analysis8 - Steve Borgatti(University of Essex) |
| Social Network Analysis7 - Steve Borgatti(University of Essex) |
| Social Network Analysis6 - Steve Borgatti(University of Essex) |
| Social Network Analysis5 - Steve Borgatti(University of Essex) |
| Social Network Analysis4 - Steve Borgatti(University of Essex) |
| Social Network Analysis3 - Steve Borgatti(University of Essex) |
| Social Network Analysis2 - Steve Borgatti(University of Essex) |
| Social Network Analysis1 - Steve Borgatti(University of Essex) |
| Social Network Analysis - Introduction to the Formal Analysis of Social Networks Using Mathematica. - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems13 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems12 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems11 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems10 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems9 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems8 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems7 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems6 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems5 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems4 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems3 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems2 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Computer-Assisted Theory Building: Modeling Dynamic Social Systems1 - Robert A. Hanneman(University of California Riverside) |
| GRAPH THEORY,Introduction to Social Network Methods - Robert A. Hanneman(University of California Riverside) |
| CALCULUS - Visual Calculus - Lawrence S. Husch(University of Tennessee) |
| CALCULUS - Graphics for the Calculus - Douglas N. Arnold(University of Minnesota) |
| ANALYSIS - Graphics for Complex Analysis - Douglas N. Arnold(University of Minnesota) |
| ANALYSIS - A Companion to Analysis (Answers)2 - Tom K?rner(Department of Pure Mathematics and Mathematical Statistics, University of Cambridge
) |
| ANALYSIS - A Companion to Analysis (Answers)1 - Tom K?rner(Department of Pure Mathematics and Mathematical Statistics, University of Cambridge
) |
| ANALYSIS - A Companion to Analysis2 - Tom K?rner(Department of Pure Mathematics and Mathematical Statistics, University of Cambridge
) |
| ANALYSIS - A Companion to Analysis1 - Tom K?rner(Department of Pure Mathematics and Mathematical Statistics, University of Cambridge
) |
| ANALYSIS - Analysis WebNotes - John L. Orr(University of Nebraska--Lincoln) |
| Introduction to String Field Theory - Warren Siegel(State University of New York at Stony Brook) |
| Fields (1999, 2nd edition 2002) - Warren Siegel(State University of New York at Stony Brook) |
| The Age of Einstein - Frank W. K. Firk(Yale University) |
| Introduction to Groups, Invariants & Particles - Frank W. K. Firk(Yale University) |
| Essential Physics 1 - Frank W. K. Firk(Yale University) |
| An Introduction to the Theory of Numbers - 4 - Leo Moser(University of South Florida) |
| An Introduction to the Theory of Numbers - 3 - Leo Moser(University of South Florida) |
| An Introduction to the Theory of Numbers - 2 - Leo Moser(University of South Florida) |
| An Introduction to the Theory of Numbers - 1 - Leo Moser(University of South Florida) |
| Elementary Number Theory - W. Edwin Clark(University of South Florida) |
| Elementary PDEs and Applications - Bj?rn Birnir(University of California, Santa Barbara) |
| Solutions to Elementary Linear Algebra - 11 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Solutions to Elementary Linear Algebra - 10 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Solutions to Elementary Linear Algebra - 9 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Solutions to Elementary Linear Algebra - 8 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Solutions to Elementary Linear Algebra - 7 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Solutions to Elementary Linear Algebra - 6 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Solutions to Elementary Linear Algebra - 5 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Solutions to Elementary Linear Algebra - 4 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Solutions to Elementary Linear Algebra - 3 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Solutions to Elementary Linear Algebra - 2 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Solutions to Elementary Linear Algebra - 1 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 12 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 11 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 10 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 9 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 8 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 7 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 6 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 5 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 4 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 3 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 2 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Elementary Linear Algebra - 1 - Keith Matthews(UNIVERSITY OF QUEENSLAND) |
| Graph Theory - Reinhard Diestel(Universitaet Hamburg) |
| Multivariable Calculus - 21 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 20 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 19 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 18 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 17 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 16 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 15 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 14 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 13 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 12 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 11 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 10 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 9 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 8 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 7 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 6 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 5 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 4 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 3 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 2 - George Cain & James Herod(Georgia Institute of Technology) |
| Multivariable Calculus - 1 - George Cain & James Herod(Georgia Institute of Technology) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 54 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 53 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 52 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 51 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 50 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 49 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 48 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 47 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 46 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 45 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 44 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 43 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 42 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 41 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 40 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 39 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 38 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 37 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 36 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 35 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 34 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 33 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 32 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 31 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 30 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 29 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 28 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 27 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 26 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 25 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 24 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 23 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 22 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 21 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 20 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 19 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 18 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 17 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 16 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 15 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 14 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 13 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 12 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 11 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 10 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 9 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 8 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 7 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 6 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 5 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 4 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 3 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 2 - Douglas N. Arnold(Penn State University) |
| Difference Equations to Differential Equations: An Introduction to Calculus - 1 - Douglas N. Arnold(Penn State University) |
| The Calculus of Functions of Several Variables - 20 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 19 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 18 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 17 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 16 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 15 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 14 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 13 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 12 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 11 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 10 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 9 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 8 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 7 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 6 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 5 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 4 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 3 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 2 - Dan Sloughter(Furman University
) |
| The Calculus of Functions of Several Variables - 1 - Dan Sloughter(Furman University
) |
| A Summary of Calculus - Karl Heinz Dovermann(University of Hawaii) |
| Calculus without Limits (Lecture Notes for Applied Calculus)? - Karl Heinz Dovermann(University of Hawaii) |
| Numerical Computing with MATLAB - 12 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 11 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 10 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 9 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 8 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 7 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 6 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 5 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 4 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 3 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 2 - Cleve Moler(The MathWorks) |
| Numerical Computing with MATLAB - 1 - Cleve Moler(The MathWorks) |
| Functional Analysis - 3 - Douglas N. Arnold(Penn State University) |
| Functional Analysis - 2 - Douglas N. Arnold(Penn State University) |
| Functional Analysis - 1 - Douglas N. Arnold(Penn State University) |
| Complex Analysis - 3 - Douglas N. Arnold(Penn State University) |
| Complex Analysis - 2 - Douglas N. Arnold(Penn State University) |
| Complex Analysis - 1 - Douglas N. Arnold(Penn State University) |
| Complex Analysis - 13 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 12 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 11 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 10 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 9 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 8 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 7 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 6 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 5 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 4 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 3 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 2 - George Cain(Georgia Institute of Technology) |
| Complex Analysis - 1 - George Cain(Georgia Institute of Technology) |
| Advanced Calculus and Analysis - Ian Craw(University of Aberdeen) |
| Mathematical Methods of Engineering Analysis - Erhan ?inlar and Robert J. Vanderbei(Princeton University) |
| A Course In Algebraic Number Theory - 14 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 13 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 12 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 11 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 10 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 9 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 8 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 7 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 6 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 5 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 4 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 3 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 2 - Robert B. Ash(University of Illinois) |
| A Course In Algebraic Number Theory - 1 - Robert B. Ash(University of Illinois) |
| Abstract Algebra with GAP - J. G. Rainbolt and J. A. Gallian(University of Minnesota) |
| Algebra and Analysis for Computer Science - 5 - Jean Gallier(University of Pennsylvania) |
| Algebra and Analysis for Computer Science - 4 - Jean Gallier(University of Pennsylvania) |
| Algebra and Analysis for Computer Science - 3 - Jean Gallier(University of Pennsylvania) |
| Algebra and Analysis for Computer Science - 2 - Jean Gallier(University of Pennsylvania) |
| Algebra and Analysis for Computer Science - 1 - Jean Gallier(University of Pennsylvania) |
| Math Alive - 13 - Ingrid Daubechies(Princeton University) |
| Math Alive - 12 - Ingrid Daubechies(Princeton University) |
| Math Alive - 11 - Ingrid Daubechies(Princeton University) |
| Math Alive - 10 - Ingrid Daubechies(Princeton University) |
| Math Alive - 9 - Ingrid Daubechies(Princeton University) |
| Math Alive - 8 - Ingrid Daubechies(Princeton University) |
| Math Alive - 7 - Ingrid Daubechies(Princeton University) |
| Math Alive - 6 - Ingrid Daubechies(Princeton University) |
| Math Alive - 5 - Ingrid Daubechies(Princeton University) |
| Math Alive - 4 - Ingrid Daubechies(Princeton University) |
| Math Alive - 3 - Ingrid Daubechies(Princeton University) |
| Math Alive - 2 - Ingrid Daubechies(Princeton University) |
| Math Alive - 1 - Ingrid Daubechies(Princeton University) |
| Design of Comparative Experiments -13 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -12 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -11 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -10 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -9 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -8 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -7 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -6 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -5 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -4 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -3 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -2 - R. A. Bailey(University of London) |
| Design of Comparative Experiments -1 - R. A. Bailey(University of London) |
| Basic Concepts of Mathematics - 4 - Elias Zakon(University of Windsor) |
| Basic Concepts of Mathematics - 3 - Elias Zakon(University of Windsor) |
| Basic Concepts of Mathematics - 2 - Elias Zakon(University of Windsor) |
| Basic Concepts of Mathematics - 1 - Elias Zakon(University of Windsor) |
| The Book A=B - Marko Petkovsek, Herbert Wilf and Doron Zeilberger(University of Ljubljana, University of Pennsylvania, University of Pennsylvania) |
| Analysis II - Integration on Smooth Domains (cont.), Stokes’ Theorem - Victor Guillemin(MIT) |
| Analysis II - Integration on Smooth Domains - Victor Guillemin(MIT) |
| Analysis II - Degree on Manifolds (cont.), Hopf Theorem - Victor Guillemin(MIT) |
| Analysis II - Integration on Manifolds, Degree on Manifolds - Victor Guillemin(MIT) |
| Analysis II - Orientations of Manifolds - Victor Guillemin(MIT) |
| Analysis II - Differential Forms on Manifolds - Victor Guillemin(MIT) |
| Analysis II - Tangent Spaces of Manifolds - Victor Guillemin(MIT) |
| Analysis II - Examples of Manifolds - Victor Guillemin(MIT) |
| Analysis II - Canonical Submersion and Immersion Theorems, Definition of Manifold - Victor Guillemin(MIT) |
| Analysis II - Topological Invariance of Degree - Victor Guillemin(MIT) |
| Analysis II - Regular Values, Degree Formula - Victor Guillemin(MIT) |
| Analysis II - Proper Maps and Degree (cont.) - Victor Guillemin(MIT) |
| Analysis II - Proper Maps and Degree - Victor Guillemin(MIT) |
| Analysis II - Generalization of Poincare Lemma - Victor Guillemin(MIT) |
| Analysis II - Poincare Theorem - Victor Guillemin(MIT) |
| Analysis II - Integration with Differential Forms, Change of Variables Theorem, Sard's Theorem - Victor Guillemin(MIT) |
| Analysis II - The d Operator (cont.), Pullback Operator on Exterior Forms - Victor Guillemin(MIT) |
| Analysis II - Tangent Spaces and k-forms, The d Operator - Victor Guillemin(MIT) |
| Analysis II - Determinant, Orientations of Vector Spaces - Victor Guillemin(MIT) |
| Analysis II - Wedge Product - Victor Guillemin(MIT) |
| Analysis II - Alternating Tensors (cont.), Redundant Tensors - Victor Guillemin(MIT) |
| Analysis II - Tensors, Pullback Operators, Alternating Tensors - Victor Guillemin(MIT) |
| Analysis II - Review of Linear Algebra and Topology, Dual Spaces - Victor Guillemin(MIT) |
| Analysis II - Partitions of Unity (cont.), Exhaustions (cont.) - Victor Guillemin(MIT) |
| Analysis II - Compact Support, Partitions of Unity - Victor Guillemin(MIT) |
| Analysis II - Exhaustions - Victor Guillemin(MIT) |
| Analysis II - Improper Integrals - Victor Guillemin(MIT) |
| Analysis II - Integration Over More General Regions, Rectifiable Sets, Volume - Victor Guillemin(MIT) |
| Analysis II - Fubini Theorem, Properties of Reimann Integrals - Victor Guillemin(MIT) |
| Analysis II - Conditions for Integrability (cont.), Measure Zero - Victor Guillemin(MIT) |
| Analysis II - Reimann Integrals of Several Variables, Conditions for Integrability - Victor Guillemin(MIT) |
| Analysis II - Inverse Function Theorem (cont.), Reimann Integrals of One Variable - Victor Guillemin(MIT) |
| Analysis II - Inverse Function Theorem - Victor Guillemin(MIT) |
| Analysis II - Chain Rule, Mean-value Theorem in n Dimensions - Victor Guillemin(MIT) |
| Analysis II - Conditions for Differentiability, Mean Value Theorem - Victor Guillemin(MIT) |
| Analysis II - Differentiation in n Dimensions - Victor Guillemin(MIT) |
| Analysis II - Compactness, Connectedness - Victor Guillemin(MIT) |
| Analysis II - Metric Spaces, Continuity, Limit Points - Victor Guillemin(MIT) |
| Mathematical Exposition - Fractals (cont.) - Emma Carberry(MIT) |
| Mathematical Exposition - Fractals - Emma Carberry(MIT) |
| Mathematical Exposition - Newton's Method - Emma Carberry(MIT) |
| Mathematical Exposition - Sarkovskii's Theorem (cont.), The Role of the Critical Orbit - Emma Carberry(MIT) |
| Mathematical Exposition - Sarkovskii's Theorem - Emma Carberry(MIT) |
| Mathematical Exposition - Symbolic Dynamics - Emma Carberry(MIT) |
| Mathematical Exposition - Transition to Chaos - Emma Carberry(MIT) |
| Mathematical Exposition - The Quadratic Family - Emma Carberry(MIT) |
| Mathematical Exposition - Bifurcations - Emma Carberry(MIT) |
| Mathematical Exposition - Graphical Analysis of Orbits, Fixed and Periodic Points - Emma Carberry(MIT) |
| Mathematical Exposition - Examples of Dynamical Systems, Orbits - Emma Carberry(MIT) |
| Mathematics for Computer Science - Lecture Slides 15-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 14-3 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 14-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 14-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 13-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 13-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 12-3 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 12-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 12-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 11-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 10-3 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 10-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 10-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 9-3 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 9-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 9-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 8-3 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 8-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 8-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 7-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 7-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 6-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 6-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 5-3 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 5-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 5-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 4-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 4-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 3-3 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 3-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 3-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 2-3 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 2-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 2-1 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 1-2 - Albert Meyer(MIT) |
| Mathematics for Computer Science - Lecture Slides 1-1 - Albert Meyer(MIT) |
| Introduction to Probability and Statistics - Review for the Final Exam - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Review of Test 2 - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Kolmogorov-Smirnov Goodness-of-fit Test - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Contingency Tables, Tests of Independence and Homogeneity - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Simple Goodness-of-fit Test, Composite Hypotheses - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Two-sample t-test, Goodness-of-fit Tests, Pearson's Theorem - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - t-test - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Most Powerful Test for Two Simple Hypotheses - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Hypotheses Testing, Bayes' Decision Rules - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Review for Exam 2 - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Confidence Intervals for Parameters of Normal Distribution - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Chi-square Distribution, t-distribution, Confidence Intervals for Parameters of Normal Distribution - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Maximum Likelihood Estimators - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Bayes' Estimators - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Estimation Theory, Bayes' Estimators - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Central Limit Theorem, Gamma Distribution, Beta Distribution - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Normal Distribution, Central Limit Theorem - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Poisson Distribution, Approximation of Binomial Distribution, Normal Distribution - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Covariance and Correlation, Cauchy-Schwartz Inequality - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Law of Large Numbers, Median - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Properties of Expectation, Variance, Standard Deviation - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Expectation, Chebyshev's Inequality - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Review for Exam 1 - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Linear Transformations of Random Vectors, Review of Problem Set 4 - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Functions of Random Variables: Sum, Product, Ratio, Maximum, Change of Variables - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Functions of Random Variables, Convolution - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Conditional Distributions, Multivariate Distributions - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Marginal Distributions - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Cumulative Distribution Function - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Random Variables and Distributions - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Bayes' Formula - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Solutions to Problem Set 1 - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Independence of Events - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Matching Problem, Conditional Probability - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Multinomial Coefficients, Union of Events - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Properties of Probability - Dmitry Panchenko(MIT) |
| Introduction to Probability and Statistics - Probability, Set Operations - Dmitry Panchenko(MIT) |
| Honors Differential Equations - Conservative Systems and Lyapunov Functions - Jason Starr(MIT) |
| Honors Differential Equations - Stability of Linear and Nonlinear Autonomous Systems - Jason Starr(MIT) |
| Honors Differential Equations - Autonomous Systems and Interacting Species Models - Jason Starr(MIT) |
| Honors Differential Equations - The Fundamental Theorem - Jason Starr(MIT) |
| Honors Differential Equations - Supplementary Notes on Jordan Normal Form - Jason Starr(MIT) |
| Honors Differential Equations - Theory of General Linear Systems of ODE's - Jason Starr(MIT) |
| Honors Differential Equations - Homogeneous Linear Systems: Real Eigenvalues Case - Jason Starr(MIT) |
| Honors Differential Equations - Eigenvalues, Eigenvectors and Eigenspaces - Jason Starr(MIT) |
| Honors Differential Equations - Compartment Models and Introduction to Linear Algebra - Jason Starr(MIT) |
| Honors Differential Equations - Extra Topics - Jason Starr(MIT) |
| Honors Differential Equations - Convolution - Jason Starr(MIT) |
| Honors Differential Equations - Properties of the Transform - Jason Starr(MIT) |
| Honors Differential Equations - The Laplace Transform: Solving IVP’s - Jason Starr(MIT) |
| Honors Differential Equations - The Dirac Delta Function - Jason Starr(MIT) |
| Honors Differential Equations - Fourier Trigonometric Series - Jason Starr(MIT) |
| Honors Differential Equations - Extra Topics - Jason Starr(MIT) |
| Honors Differential Equations - Theory of 2nd Order Linear and Nonlinear ODE's - Jason Starr(MIT) |
| Honors Differential Equations - Inhomogeneous 2nd Order Linear ODE's - Jason Starr(MIT) |
| Honors Differential Equations - Some Instructions on Plotting Functions in MATLAB - Jason Starr(MIT) |
| Honors Differential Equations - Homogeneous 2nd Order Linear ODE's with Constant Coefficients - Jason Starr(MIT) |
| Honors Differential Equations - Approximate Numerical Solutions - Jason Starr(MIT) |
| Honors Differential Equations - Qualitative Analysis - Jason Starr(MIT) |
| Honors Differential Equations - Extension of Solutions - Jason Starr(MIT) |
| Honors Differential Equations - Existence and Uniqueness of Solutions: Picard Iterates - Jason Starr(MIT) |
| Honors Differential Equations - Existence and Uniqueness of Solutions: Uniqueness - Jason Starr(MIT) |
| Honors Differential Equations - Linear Differential Equations - Jason Starr(MIT) |
| Honors Differential Equations - Modeling and Terminology - Jason Starr(MIT) |
| Calculus - Subspaces - Hartley Rogers(MIT) |
| Calculus - Determinants (cont.), Matrix Algebra - Hartley Rogers(MIT) |
| Calculus - Row Reduction, Determinants - Hartley Rogers(MIT) |
| Calculus - Equation Systems - Hartley Rogers(MIT) |
| Calculus - n-Vectors and Matrices (cont.) - Hartley Rogers(MIT) |
| Calculus - n-Vectors and Matrices - Hartley Rogers(MIT) |
| Calculus - Physical Applications - Hartley Rogers(MIT) |
| Calculus - Stokes' Theorem (cont.) - Hartley Rogers(MIT) |
| Calculus - Curl and Stokes' Theorem - Hartley Rogers(MIT) |
| Calculus - Divergence and the Divergence Theorem - Hartley Rogers(MIT) |
| Calculus - Green's Theorem - Hartley Rogers(MIT) |
| Calculus - Surface Integrals - Hartley Rogers(MIT) |
| Calculus - Surfaces - Hartley Rogers(MIT) |
| Calculus - Line Integrals (cont.), Conservative Fields (cont.) - Hartley Rogers(MIT) |
| Calculus - Conservative Fields - Hartley Rogers(MIT) |
| Calculus - Line Integrals - Hartley Rogers(MIT) |
| Calculus - Vector Fields - Hartley Rogers(MIT) |
| Calculus - Curvilinear Coordinates, Change of Variables - Hartley Rogers(MIT) |
| Calculus - Integrals in Polar, Cylindrical and Spherical Coordinates - Hartley Rogers(MIT) |
| Calculus - Iterated Integrals - Hartley Rogers(MIT) |
| Calculus - Multiple Integrals - Hartley Rogers(MIT) |
| Calculus - Constrained Maximum-Minimum Problems - Hartley Rogers(MIT) |
| Calculus - Maximum-Minimum Problems - Hartley Rogers(MIT) |
| Calculus - Elimination Method for the Chain Rule - Hartley Rogers(MIT) |
| Calculus - The Chain Rule - Hartley Rogers(MIT) |
| Calculus - Linear Approximation and Differentiability, Gradient - Hartley Rogers(MIT) |
| Calculus - Scalar Fields, Cylindrical Coordinates - Hartley Rogers(MIT) |
| Calculus - Paths and Curves - Hartley Rogers(MIT) |
| Calculus - Calculus of Vector Functions - Hartley Rogers(MIT) |
| Calculus - Calculus of 1-Variable Vector Functions - Hartley Rogers(MIT) |
| Calculus - Analytic Geometry in 3 Dimensions - Hartley Rogers(MIT) |
| Calculus - Vector Algebra with Cartesian Coordinates - Hartley Rogers(MIT) |
| Calculus - Geometric Vectors and Vector Algebra - Hartley Rogers(MIT) |
| Calculus - Euclidean Geometry in 3 Dimensions, Geometric Proofs - Hartley Rogers(MIT) |
| Single Variable Calculus - Final Review - Jason Starr(MIT) |
| Single Variable Calculus - Power Series - Jason Starr(MIT) |
| Single Variable Calculus - Infinite Series - Jason Starr(MIT) |
| Single Variable Calculus - Improper Integrals - Jason Starr(MIT) |
| Single Variable Calculus - Indeterminate Forms and L'Hospital's Rule - Jason Starr(MIT) |
| Single Variable Calculus - Integration by Parts - Jason Starr(MIT) |
| Single Variable Calculus - Integration by Partial Fractions - Jason Starr(MIT) |
| Single Variable Calculus - Integration by Inverse Substitution - Jason Starr(MIT) |
| Single Variable Calculus - Inverse Trigonometric Functions and Hyperbolic Functions - Jason Starr(MIT) |
| Single Variable Calculus - Area and Arc Length in Polar Coordinates - Jason Starr(MIT) |
| Single Variable Calculus - Surface Area and Polar Coordinate Graphs - Jason Starr(MIT) |
| Single Variable Calculus - Parametric Equations and Arc Length - Jason Starr(MIT) |
| Single Variable Calculus - Volumes by Shells and Average Values - Jason Starr(MIT) |
| Single Variable Calculus - Areas between Curves, Volumes of Revolutions, and Slicing - Jason Starr(MIT) |
| Single Variable Calculus - Numerical Integration and Review of Unit 3 - Jason Starr(MIT) |
| Single Variable Calculus - Differential Equations and Separation of Variables - Jason Starr(MIT) |
| Single Variable Calculus - Properties of Definite Integrals - Jason Starr(MIT) |
| Single Variable Calculus - The Fundamental Theorem of Calculus - Jason Starr(MIT) |
| Single Variable Calculus - Definite Integrals - Jason Starr(MIT) |
| Single Variable Calculus - Differentials and Indefinite Integrals - Jason Starr(MIT) |
| Single Variable Calculus - Inequalities, Zeros, and Newton's Method - Jason Starr(MIT) |
| Single Variable Calculus - Related Rates - Jason Starr(MIT) |
| Single Variable Calculus - Max-Min Problems - Jason Starr(MIT) |
| Single Variable Calculus - Curve Sketching - Jason Starr(MIT) |
| Single Variable Calculus - Approximations, Mean Value Theorem - Jason Starr(MIT) |
| Single Variable Calculus - Review for Exam 1 - Jason Starr(MIT) |
| Single Variable Calculus - The Derivatives of Trigonometric Functions - Jason Starr(MIT) |
| Single Variable Calculus - The Derivatives of Exponential and Logarithm Functions - Jason Starr(MIT) |
| Single Variable Calculus - Chain Rule and Implicit Differentiation - Jason Starr(MIT) |
| Single Variable Calculus - Differentiation Formulas: Products and Quotients - Jason Starr(MIT) |
| Single Variable Calculus - Slope and Derivative, Limits and Continuity - Jason Starr(MIT) |
| Single Variable Calculus - Velocity and Rates of Change - Jason Starr(MIT) |
| Differential Equations - Chaos - Arthur Mattuck(MIT) |
| Differential Equations - Examples of Nonlinear Systems - Arthur Mattuck(MIT) |
| Differential Equations - Nonlinear Systems - Arthur Mattuck(MIT) |
| Differential Equations - Muddy Card Responses - Arthur Mattuck(MIT) |
| Differential Equations - Inhomogeneous Equations: Variation of Parameters Again - Arthur Mattuck(MIT) |
| Differential Equations - Normal Modes and the Matrix Exponential - Arthur Mattuck(MIT) |
| Differential Equations - Qualitative Behavior of Linear Systems; Phase Plane - Arthur Mattuck(MIT) |
| Differential Equations - Complex or Repeated Eigenvalues - Arthur Mattuck(MIT) |
| Differential Equations - Eigenvalues, Eigenvectors - Arthur Mattuck(MIT) |
| Differential Equations - Linear Systems and Matrices - Arthur Mattuck(MIT) |
| Differential Equations - Pole Diagram - Arthur Mattuck(MIT) |
| Differential Equations - Muddy Card Responses - Arthur Mattuck(MIT) |
| Differential Equations - Completing the Square; Time Translated Functions - Arthur Mattuck(MIT) |
| Differential Equations - Application to ODEs- Partial Fractions - Arthur Mattuck(MIT) |
| Differential Equations - Muddy Card Responses - Arthur Mattuck(MIT) |
| Differential Equations - Laplace Transform- Basic Properties - Arthur Mattuck(MIT) |
| Differential Equations - Convolution - Arthur Mattuck(MIT) |
| Differential Equations - Step Response, Impulse Response - Arthur Mattuck(MIT) |
| Differential Equations - Step Function and delta Function - Arthur Mattuck(MIT) |
| Differential Equations - Periodic Solutions- Resonance - Arthur Mattuck(MIT) |
| Differential Equations - Muddy Card Responses - Arthur Mattuck(MIT) |
| Differential Equations - Operations on Fourier series - Arthur Mattuck(MIT) |
| Differential Equations - Fourier Series - Arthur Mattuck(MIT) |
| Differential Equations - Exponential Shift Law- Resonance - Arthur Mattuck(MIT) |
| Differential Equations - Driving Through the Dashpot - Arthur Mattuck(MIT) |
| Differential Equations - Applications- Guest appearance by EECS - Arthur Mattuck(MIT) |
| Differential Equations - Frequency Response - Arthur Mattuck(MIT) |
| Differential Equations - Undetermined Coefficients - Arthur Mattuck(MIT) |
| Differential Equations - Muddy Card Responses - Arthur Mattuck(MIT) |
| Differential Equations - Operators and Exponential Signals - Arthur Mattuck(MIT) |
| Differential Equations - Inhomogeneous Equations, Superposition - Arthur Mattuck(MIT) |
| Differential Equations - Complex Roots- Damping Conditions - Arthur Mattuck(MIT) |
| Differential Equations - Muddy Card Responses - Arthur Mattuck(MIT) |
| Differential Equations - The Spring-mass-dashpot Model, Superposition Characteristic Polynomial, Real Roots, Initial Conditions - Arthur Mattuck(MIT) |
| Differential Equations - Linear vs. Nonlinear - Arthur Mattuck(MIT) |
| Differential Equations - Muddy Card Responses - Arthur Mattuck(MIT) |
| Differential Equations - Autonomous Equations- The Phase Line, Stability - Arthur Mattuck(MIT) |
| Differential Equations - Linear System Response to Exponential and Sinusoidal Input- Gain, Phase Lag - Arthur Mattuck(MIT) |
| Differential Equations - Roots of Unity; Sinusoidal Functions - Arthur Mattuck(MIT) |
| Differential Equations - Complex Numbers, Complex Exponentials - Arthur Mattuck(MIT) |
| Differential Equations - Solution of Linear Equations, Variation of Parameter - Arthur Mattuck(MIT) |
| Differential Equations - Linear Equations- Models - Arthur Mattuck(MIT) |
| Differential Equations - Numerical Methods - Arthur Mattuck(MIT) |
| Differential Equations - Direction Fields, Existence and Uniqueness of Solutions - Arthur Mattuck(MIT) |
| On the configuration space of a certain n-arms machine in the Euclidean space - Shuichi Tsukuda(University of Ryukyus, Japan) |
| Twisting segal's K-homology theory - Dai Tamaki( Shinshu University, Japan) |
| On certain 5-manifolds with fundamental group $Z_2$ - Yang Su(Chinese Academy of Sciences, China) |
| Homological functors with coefficients - E-Jay Ng( National University of Singapore) |
| An algebraic topological approach toward concrete Schubert calculus - Shizuo Kaji(Fukuoka University, Japan) |
| $A_n$ invariant for stably tangent bundles and the functional Steenrod square - Yang Hyun Byun(Hanyang University) |
| Simplicial description of Artin's braid group representations - Fedor Duzhin(Nanyang Technological University) |
| Homological representations of Artin groups of type $B_n (C_n)$ and $D_n$ - Zhi Chen( University of Science and Technology of China, China) |
| Strong torsion generators, braid groups and mapping class groups - Jon Berrick(National University of Singapore) |
| The dimension of the second bounded cohomology - Hee Sook Park(KAIST) |
| Noetherian loop spaces - Jerome Scherer( Universitat Autònoma de Barcelona, Spain) |
| Homotopy exponents of some homogeneous spaces - Hao Zhao(University of Manchester, UK) |
| A curious subquotient of the divided power algebra - Le Minh Ha(Vietnam National University, Vietnam) |
| Properties of Bott towers in toric topology - Suyoung Choi(KAIST) |
| The L-infinity algebra of toric manifolds - Cheol Hyun Cho(SNU) |
| Parametrized Borsuk-Ulam problem for projective space bundles - Mahender Singh(Harish-Chandra Research Institute, India) |
| The homotopy groups related to $L_2T(m)/(v_1)$ at an odd prime - Zihong Yuan(Nankai University, China) |
| On mapping class groups of non orientable-surfaces - Miguel Alejandro Xicotencatl Merino(Centrode Investigacion Estudios Avanzados, Mexico) |
| A model for the homotopy type of the complement - Nguyen Viet Dung(Institute of Mathematics, Hanoi, Vietnam) |
| How to see the saddle sets of Smale flows in 3-manifolds - Xuezhi Zhao( Capital Normal University, China) |
| On attractors derived from expanding maps - Jianzhong Pan(Chinese Academy of Sciences, China) |
| On 3-manifolds with locally-standard $(Z_2)^3$-actions - Zhi Lu(Fudan University, China) |
| Group actions on 4-manifolds - Ximin Liu(South China University of Technology, China) |
| Toric cohomological rigidity of simple convex polytopes - Dong Youp Suh(KAIST) |
| Decoding of Reed-Solomon and algebraic geometry codes - 이관규(조선대) |
| Halpern type iteration for multivalued nonexpansive mappings - 조열제(경상대) |
| Duality for $bf epsilon$-Variational Inequality - 이규명(부경대) |
| Fuzzy stability of quintic functional equations: a fixed point approach - 박춘길(한양대) |
| Jacobi forms and Eichler Integral - 임수봉(포항공대) |
| Zeros of the derivatives of the Riemann zeta function - 이윤복(연세대) |
| Construction of MNT elliptic curves with a small security loss - 선동규(삼성SDS 통합보안컨설팅그룹) |
| Polytope numbers and their properties - 이준엽(포항공대) |
| Pricing and hedging for an extended CEV model - 유현곤(연세대) |
| Optimality conditions and duality theorems for a class of nonconvex semi-infinite programs - Ta Quang Son(Nhatrang College of Education) |
| Markov chains and the inverses of positive operators - 유현재(한경대) |
| Heat kernel estimates for Dirichlet fractional Laplacian - 김판기(서울대) |
| Recent trends on the study of a generalized universal covering space - 한상언(전북대) |
| Topological entropy of maps on infra-nilmanifolds - 이종범(서강대) |
| Periodic solutions for nonlinear parabolic systems - 최규흥(인하대) |
| Sharp $_p$ estimates for oscillatory fractional integral operators-translation - 조주희(고려대) |
| Evaluation formulas for conditional expections on a function space - 조동현(경기대) |
| Topological approach and the multiplicity result for a class of the systems of the critical growth suspension bridge equations - 정택선(군산대) |
| A functional equation of Aczél and Chung in Schwartz distributions - 정재영(군산대) |
| Generalized Castelnuovo-Mumford regularity for affine Kac-moody algebras - 박의용(서울대학교) |
| Algebraic Montgomery-Yang problem: The noncyclic case - 금종해(KIAS) |
| The generalized cell boundary element methods - 전영목(아주대학교) |
| Bifurcation theory for nonsmooth dynamical systems - 도영해(경북대학교) |
| Enumerative Geometry and Moduli Spaces - 김영훈(서울대학교) |
| Orbital Integrals, Symmetric Fourier Analysis and Eigenspace Representations. - Sigurdur Helgason(Massachusetts Institute of Technology) |
| Families of abelian Varieties Parametrized by Arithmetic Varieties - 이민호(University of Northern Iowa) |
| Torus Actions on Manifolds - Mikiya Masuda(Osaka City University) |
| Classification of vector bundles over circles and spheres with group actions - 서동엽() |
| Circle Graphs Obstructions under Pivoting - 엄상일() |
| Counting side-pairings of a polygon and Harer-Zagier Theorem - 곽진호() |
| Minkowski sum and simple polytopes - Victor Buchstaber() |
| Toric Topology of Stasheff Polytopes - Victor Buchstaber() |
| Face-polynomials of simple polytopes and applications - Victor Buchstaber() |
| On the syzygies of quasi-complete intersection space curves - 최영욱() |
| Discreteness properties of translation numbers in Garside groups - 이상진() |
| 수학특강(대칭함수론, Symmetric functions) I - Richard P. Stanley() |
| Quantum Affine Algebras, Crystal Bases and LEGO-Tetris - 강석진() |
| On Financial Derivatives - 김용환() |
| Moment-angle complexes and applications - Victor Buchstaber() |
| Problem Reduction to Parameter Space - 김명수() |
| Wild p-cycle actions on K_3 Surfaces - 금종해() |
| 패키지 관리 - 김강수() |
| Moment-angle manifolds in toric topology 1 - Taras panov() |
| Increasing and decreasing subsequences - Richard P. Stanley() |
| Climate modeling: A challenge for mathematicians - George R. Sell() |
| Exact dynamic stiffness matrix of non-symmetric thin-walled curved beams - Kim, Moon-Young() |
| Segmentation and background extraction with application to e-catalogue - Lee, Chang-Ock() |
| Various regularization functions in system identification problems for solids - Lee, Jeeho() |
| Return-mapping algorithm for cyclic loading analysis of damaged structures - Lee, Hae Sung() |
| Network disconnection problems in a centralized network - Myung, Young-Soo() |
| Evaluation of robust performance of fuzzy supervisory control technique - Park, Kwan-Soon() |
| Robust structural control design using generalized semi-infinite min-max optimization - Park, Wonsuk() |
| Waveform inversion using logarithmic wavefield - Shin, Changsoo() |
| Co-evolutionary approaches for numerical optimization - Tahk, Min Jae() |
| FEM on Nonlinear Free Surface Flow - Bai, Kwang June() |
| Expansive Wavelet-based Approaches For Satellite Image Fusion - Choi, Myungjin() |
| Oxygen Delivery Through Capillaries - Go, Jaegwi() |
| A Simple Approach for Stochastic Interest Rate Option Pricing Model - Hyun, Jung-Soon() |
| Optimal Control Theory Applied to a Difference Equation Model of Cardiopulmonary Resuscitation with Chest Compression Only - Jung, Eunok() |
| Stabilization for the Nonlinear damped Wave Equations in Exterior Domains - Jung, Il Hyo() |
| Multi-dimensional limiting process for hyperbolic conservation laws - Kim, Chongam() |
| A posteriori error estimators for P1 nonconforming approximation of quasi-Newtonian Stokes flows - Kim, Kwang-Yeon() |
| Butterworth Filters, Scaling functions and Frame Wavelets - Kim, Rae Young() |
| The finite element method dealing with corner singularities: Div-Curl system - Kim, Seokchan() |
| Long time asymptotics and a potential comparison technique - Kim, Yong Jung() |
| Two-channel Sampling in Wavelet Subspaces - Lee, Eunghyun() |
| A Mathematical Modelling of Signal Transduction System via Insulin - Lim, Kyung-Kuk() |
| Constraint-Preserving Numerical Methods for Hyperbolic Partial Differential Equations - Manuel Torrilhon() |
| Identification of origin of numerical scatter in crash simulation in parallel computing environment - Paik, Seung-Hoon() |
| Design of parallel block Lanczos code based on data structure of multifrontal solver - Park, Si Hyong() |
| Computational modeling of wave propagations in composite saturated poroviscoelastic media - Sheen, Dongwoo() |
| Eigenvalue problem for a singular one-dimensional p-Laplacian and its applications - Sim, Inbo() |
| Thermodynamically self-consistent model for a material that undergoes solid-liquid-gas phase transitions with chemical reaction - Yoh, Jai-ick() |
| Subdivision:from Stationary to Non-stationary scheme - Jung-ho Yoon() |
| Nonuniform and local variational subdivision - Scott N. Kersey() |
| Bivariate orthogonal polynomials on triangular domains - Abedallah Rababah() |
| Fast Multipole Method for Global Illumination - Sharat Chandran() |
| Subdivision Zoo - KwanPyo Ko() |
| Introduction to Lifting Scheme - Yoo Hoon() |
| Wavelets - Sangsu Park() |
| Magic Squares - Jae-chil Yoo() |
| B-splines, snake algorithm - Chang Ho Kim() |
| Cardinal E-splines - Munbae Lee() |
| SVD and its application - Joon Jae Lee() |
| Copyright Protection of Digital Image - Sung-Ho Bae() |
| Localization for Mobile Robot Using Monocular Vision - Hyunsik Ahn() |
| Shortest Path Admist Disc Obstacles - Sung-Woo Choi() |
| Spline Methods in CAGD - Byung-Gook Lee() |
| Algorithm for Photomask machine - Kim, Hoisub() |
| Laminar flow past a simplified viral capsid structure model - Kim, Do Wan() |
| Finite element methods for dealing with poisson problem with discontinuous coefficients - Kim, Seok Chan() |
| The cell boundary element methods - Jeon, Youngmok() |
| Gauge Uzawa methods for Incompressible flows with Variable Density flows - Pyo, Jae-Hong() |
| Operator splitting for high-order adaptive mesh refinement on the sphere - St-Cyr, Amik() |
| Radial basis functions - Some recent developments - Fornberg, Bengt() |
| Piecewise bilinear preconditioning on high-order - Kim, Sang Dong() |
| Automatic initial mesh generation by a grid-based template - Ahn, Soyoung() |
| Solving Hyperbolic partial differential equations in spherical geometry with radial basis functions - Flyer, Natash() |
| Quasitoric manifolds - Victor Buchstaber() |
| Analysis of deterministic systems - Kyewon Koh Park() |
| A strong closing lemma in nonuniform hyperbolicity - Wenxiang Sun() |
| Absolutely continuous invariant measures for expansive diffeomorphisms of the 2-torus. - Naoya Sumi() |
| Continuity of SRB measure and entropy for nonuniformly eapanding 1D maps - Yong Zhang() |
| Optimal control of damped Klein-Gordon equations with state constraints - Jong Yeoul Park() |
| $C^1$ stable shadowing diffeomorphisms - Kazuhiro Sakai() |
| On the zeta function of an $S$-gap shift - Young-One Kim() |
| Local dimension of invariant measure for interval maps - Yong Moo Chung() |
| Some properties of set-valued dynamical systems - Hahng Yun Chu() |
| Structural stability of vector fields with various shadowing - Keonhee Lee() |
| Volterra type integral equation method for Schrodinger equation - Sheon Young Kang() |
| Inverse Shadowing for Partially Hyperbolic Set - Yinhao Han() |
| Attractors for the Klein-Gordon-Schrodinger equation with boundary term - Joungae Kim() |
| The stability of generalized polynomial (GP) functions of degree 2 - Yang-Hi Lee() |
| Various shadowing properties in Lorenz attractor - Taeyoung Choi() |
| Stability for the functional equation of cubic type - Ick-Soon Chang() |
| 암호분석기법 -고전암호를 중심으로 - 김병수() |
| 감청과 키-복구 시스템 - 이필중() |
| 해쉬함수를 이용한 MAC의 구성 - 윤아람() |
| Key generation for GB polly cracker cryptosystems - 이은정() |
| A Diffie-Hellman key exchange protocol/w/o random oracles - 정익래() |
| Fair exchange in a multi-user setting - 염대현() |
| Attacks on multiple modes of operation of block ciphers - 홍득조() |
| 센서네트워크에서의 키-사전분배 - 이주영() |
| Secure ID-based signature scheme with efficient aggregations - 심경아() |
| Privacy preserving computation - 윤효진() |
| Group and ring signatures - 박해룡() |
| Security of 160-bit ECDLP - 선동규() |
| Introduction to TMTO - 홍 진() |
| Control Theorems for Abelian Varieties over Global Function Fields - Ki-Seng Tan() |
| On Motivic Transcendence Theory in Positive Characteristic - Jing Yu() |
| $K_{2i}(O_F)$ for $Z_p$-extension - Hourong Qin() |
| On a Local-Global Property of Algebraic Dynamics - Liang-Chung Hsia() |
| Regular positive ternary quadratic forms - Byeong-Kweon Oh() |
| Vahlen's Involution and q-sereis identities - Joon Youp Lee() |
| On the coefficients of certain family of modular equations - Nam Min Kim() |
| On the Implementation of Tate Pairings - Soonhak Kwon() |
| Prime Solutions to Quadratic Fquations - Jianya Liu() |
| Modular units and divisor class groups of the modular curves $X_1(N)$ - Yifan Yang() |
| Calculation of $l$-adic local Fourier transformations - Lei Fu() |
| The Laplace transformation method for parabolic problems - 신동우() |
| Group Size and Bargaining Power - 채수찬() |
| Excluding a Bipartite Circle Graph from Line Graphs - 엄상일() |
| Polynomial representation for the number of partitions with length fixed - 송익호() |
| Maple 소개 및 기초 - 신희성() |
| Rank-width and Well-quasi-ordering - 엄상일() |
| The greedy algorithm for strict cg-matroids - 사노 요시오() |
| Nonnegative Matrix Factorization and its Applications I - 박혜선() |
| Convergence of the binomial tree method for Pricing Lookback Options in a jump-diffusion model - Kwon, Mi Jeong() |
| Adaptive Methods for Linear Discriminant Analysis and Kernelized Discriminant Analysis - 박혜선() |
| Dimension Reduction for Undersampled High Dimensional Data - 박혜선() |
| Introduction to Matrix Decompositions - 박혜선() |
| Volatility Model Analysis for Time Series Data - 이상렬() |
| Random matrices and applications (I) - 백진호() |
| 방사성 폐기물 처분의 안정성 평가 : 수학적 모델 및 수치적 모델의 사용 - 김창락() |
| Teaching applied mathematics for engineers-a new teaching paradigm based on industrial mathematics - Taavitsainen, Veli-matti() |
| Fine segmentation using geometric attraction-driven flow and edge-regions - Hahn, Jooyoung() |
| Optimal investment, consumption and retirement decision with disutility and liquidity constraints - Lim, Byung Hwa() |
| Duality methods for total variation minimization in image processing - Chan, Tony() |
| Data-driven on-line character control: Philosophy and Promise - Shin, Sung Yong() |
| First-order system least-square method for the optimal control - Ryu, Soorok() |
| Optimal error estimate for semi-discrete Gauge-Uzawa method for the Navier-Stokes equations - Pyo, Jae-Hong() |
| Mutual capacitance via Last-passage algorithms - Hwang, Chi-Ok() |
| A fractional step meshfree point collocation method for the incompressible Navier-Stokes equations - Kim, Yongsik() |
| A phase-field approach for surface area minimization of triply-periodic surfaces - Lee, Hyun-Geun() |
| structure prediction using the global optimization method - Lee, Jinwoo() |
| Parallelization and performance evaluation of contact-impact simulation - Moon, Ji Joong() |
| Micromagnetic simulations with Landau-Lipschitz-Gilbert equation - Nam, Won Chang() |
| High performance Direct-iterative hybrid linear solution method for large scale structural analysis - Kim, Minki() |
| The effects of axial forces to an arch subjecting to uniform radial loads - Go, Jaegwi() |
| The evolution of the stationary solutions of Korteweg-de Veries equation with a positive forcing - Whang, Sungim() |
| Improvement of Chimera grid method with moving least squares method - Lee, Kwan Joong() |
| Numerical computational method for wood drying - Lee, Yong Hun() |
| Symmetric tight wavelet frames constructed from quasi-interpolatory subdivision mask - Jeong, Byeongseon() |
| Aliasing error of sampling series in wavelet subspaces - Kim, Jong Min() |
| Oversampling expansion in wavelet subspaces - Park, Hyun-Shik() |
| Box constrained optimization for signal detection in MINO channel - Park, Soonchul() |
| Robust seismic waveform - Ha, Taeyoung() |
| Performance analysis of push to talk over IEEE 802.16e with Sleep/Idle mode - Baek, Sangkyu() |
| Saturation throughput analysis of IEEE 802.11 Wireless LAN under the Rayleigh fading channel - Cho, Hong-il() |
| Performance analysis of a modified SDP in unsaturated condition in the P-persistent IEEE 802.11 Network - Lee, Chan Yong() |
| Existence and uniqueness of very singular solution for the p-Laplacian equation with convection - Fang, Zhong Bo() |
| Weighted L^2 decay for the Navier-Stokes equations in R^2 - Lee, Jungho() |
| Multi-frequency trans-admittance scanner - Lee, Jeehyun() |
| A BDDC algorithm for three dimensional elasticity with mortar discretization - Kim, Hyea Hyun() |
| The generalized interface difference method for elliptic problems - Lee, Sunmi() |
| An iterative substructuring method with Lagrange multipliers - Park, Eun-Hee() |
| Aerodynamic shape optimization using discrete adjoint formulation based on overset mesh technique - Yim, Jin Woo() |
| Construction of a non-stationary biorthogonal wavelet system using a subdivision scheme - Jang, Sumi() |
| Moving least square approximation using radial basis functions - Lee, Mun Bae() |
| Redundant decompositions and time-frequency analysis - Yoon, Gang Joon() |
| Determining the locations and discontinuities in the derivatives of funct - Yoon, Jungho() |
| Adaptive mesh refinement for the Black-Scholes equations - Kim, Junseok() |
| Tail asymptotics for the waiting time in an M/G/1 retrial queue - Kim, Jerim() |
| Queueing analysis of opportunistic schedule exploiting multiuser diversity - Kim, Yoora() |
| Study of reaction rate for nonideal detonation behavior of an insensitive explosive - Park, Jeongsoo() |
| Buckling analysis of unstiffened composite cylinders - Han, Dong Yeob() |
| Inverse kinetics and robust PID control of a 2-DOF parallel motion simulator - Hong, Seong-Il() |
| CFD applications on aerodynamics design and analysis of vehicles - Ahn, Changsoo() |
| A Study on the fatigue characteristic of Laser-welded steel with gap - Yang, Haeseok() |
| Iterative correction for SPECT image distorted by collimator's characteristic - Lee, Nam-Yong() |
| Nonlinear structure tensor using diffusion coefficients based on mage - Lee, Chang-Ock() |
| PDE-based image interpolators - Cha, Youngjoon() |
| Real-time motion detection in video surveillance using a level set-based energy functional - Woo, Hyenkyun() |
| Level set based simultaneous background image modeling and eground segmentation - Lee, Suk-Ho() |
| 동아시아 국가의 환율정책과 외환파생 시장의 이해 : 선물환 시장을 중심으로 - 김경수() |
| Levy Processes in Financial Modelling - 정동명() |
| CDO Pricing - 전인태() |
| Generalized function theory & its applications - Yu, Yung Hoon() |
| Concurrent multiscale methods for crystalline solids - Tang, Shaoqiang() |
| Stock-price models and option pricing - Chung, Dong Myung() |
| A numerical method for the quaternary Cahn-Hilliard system - Kim, Junseok() |
| Flow field computation by upwind meshfree method for simplified high voltage gas circuit breaker model - Park, Seong-Kwan() |
| Convergence acceleration of the Euler equation through sparse point representation - Lee, Dohyung() |
| CACTUS CFD toolkit: combination of aerodynamic solver with advanced computing technologies - Ko, Soon-Heum() |
| Acoustic diffraction from a finite plate - Jeon, Wonju() |
| Closed-form upper bounds for the optimal exercise boundary of American put - Byun, Suk-Joon() |
| A study of valuation of bonus options in with-profit insurance products based on asset share model - Han, Sangil() |
| Analysis of the several numerical schemes for the thin film equations - Ha, Youngsoo() |
| Collocation meshfree methods as a flow solver; what we are done with and what we are doing now - Kim, Do Wan() |
| Development of repetitive response surface enhancement for the multidisciplinary optimazation - Jeon, Kwon-Su() |
| E-airs: an aerospace research portal service on the e-science technology - Ahn, Jae Wan() |
| Using MATLAB to price and analyse option - Owen, Don() |
| On the use of realized quasi-Monte Carlo method in European option pricing - Jeon, Doobae() |
| Error-analysis of one-dimensional Helmholtz equation with PML boundary - Ha, Taeyoung() |
| Grid-based automatics 3D mesh generation from the planat cross-sections - Ahn, Soyoung() |
| A very singular solution for the slow diffusion equation with nonlinear convection term - Fang, Zhong Bo() |
| On the location of critical point for the Poisson equation - Kim, Sun-Chul() |
| Asymptotic analysis of high-contrast phononic crystals and a criterion for the band-gap opening - Lee, Hyundae() |
| Sequential optimality conditions for convex semidefinite vector optimization problems - Lee, Kwang-Baik() |
| Correlative sparsity in solving optimization problems - Kim, Sunyoung() |
| The mathematical modeling and numerical simulations for the motion of soap bubbles - Kang, Myungjoo() |
| Mathematical modeling of multiple bubble interactions in hydrodynamic unstable mixing - Sohn, Sung-Ik() |
| The cell boundary element methods for multiscale elliptic problems - Jeon, Youngmok() |
| Boundary integral method for photonic crystal fiber - Cho, Min Hyung() |
| Algorithm for finding 90/150 tridiagonal matrices - Cho, Sung-Jin() |
| Introduction of a symmetric tight wavelet frame to image processing: image fusion, image denoising and image inpainting - Choi, Myungjin() |
| Quasi-interpolatory refinable fuctions and construction of biorthogonal wavlelt systems - Lee, Yeon Ju() |
| Convergence of increasingly flat radial basis interpolants to polynomial interpolants - Yoon, Jungho() |
| Analysis of IEEE802.15.4 with non-beacon enabled CSMA/CA by matrix geometric method - Bae, Yun Han() |
| Analytic Model of IEEE 802.15.4 for both Upload and download Traffic - Kim, Tae Ok() |
| Feedback Control and State Estimation of an HIV Model - Kwon, Hee-Dae() |
| A music-type algorithm for detecting internal corrosion from electrostatic boundary measurements - Kim, Eunjoo() |
| Topology deterimination of critical cases in surface-surface intersection - Oh, Min-jae() |
| Eigenvalues for the semi-circulant preconditioning of elliptic operators with the variable coefficients - Kim, Hoi Sub() |
| A three-level BDDC algorithm for Mortar discretizations - Kim, Hyea Hyun() |
| Absolutely stable explicit schemes for reaction systems - Lee, Chang-Ock() |
| Compactly supported symmetric tight wavlet frames constructed from quasi-interpolatory subdivision masks - Jeong, Byeongseon() |
| B-spaces and their characterization via anisotropic Franklin bases - Park, Kyungwon() |
| The Linear independence conjecture for timefrequency shifts - Yoon, GangJoon() |
| Average rate and BER expressions for M-QAM AMC with multiuser diversity over Nakagami-m fading channel - Kim, Yoora() |
| Cross layer design and analysis of wireless networks - Hwang, Gang Uk() |
| Fine segmentation using geometric attraction-driven flow and edge-regions - Hahn, Jooyoung() |
| Electro-muscular disruption devices - Lee, Jeehyun() |
| Numerical simulations of flows in an elastic cylinder with two chambers - Lee, Sunmi() |
| Normal mode analysis of second-order projection methods for incompressible flows - Pyo, Jae-Hong() |
| Hybrid direct-iterative linear solution method for structral analysis problem - Kim, Minki() |
| Crystal bases of quantum groups - Masaki Kashiwara() |
| Recent development of the minimal model theory - Yujiro Kawamata() |
| Halphen Pencils on Fano 3-fold Weighted Hypersurfaces - Jihun Park() |
| A combinatorial proof of a Weyl-type formula for hook Schur polynomials - Jae-Hoon Kwon() |
| Polynomial rings - Byung Gyun Kang() |
| Canonical Forms for Complex Matrix Congruence and Congruence - Roger Horn() |
| Comtrans algebra representation - Bokhee Im() |
| On Representation Theory of Quadratic Forms-focused on Universal Forms - Myung-Hwan Kim() |
| Refined class number formula and its generalization - Joongul Lee() |
| Normal CM-fields - Soun-Hi Kwon() |
| Automorphism Groups of Algebraic Surfaces - JongHae |
