Lecture 14: Complex Analysis
1:01:20
Lecture 14: Complex Analysis
Lecture 13: Bessel Functions
1:01:50
Lecture 13: Bessel Functions
Lecture 12: Gamma and Beta Functions
35:31
Lecture 12: Gamma and Beta Functions
[Numerical Methods] Lecture 7: Numerical Solution of Ordinary Differential Equations
33:37
[Numerical Methods] Lecture 7: Numerical Solution of Ordinary Differential Equations
Lecture 11: Numerical Integration & Numerical Solution of ODEs
54:04
Lecture 11: Numerical Integration & Numerical Solution of ODEs
Lecture 10: Linear Regression + Numerical Differentiation
1:29:18
Lecture 10: Linear Regression + Numerical Differentiation
[Numerical Methods] Lecture 6: Numerical Integration
40:09
[Numerical Methods] Lecture 6: Numerical Integration
Lecture 9: Numerical Methods for Solving Linear Systems & Nonlinear Equations
1:05:49
Lecture 9: Numerical Methods for Solving Linear Systems & Nonlinear Equations
Lecture 8: Inner Product Spaces and Norms
47:53
Lecture 8: Inner Product Spaces and Norms
[Numerical Methods] Lecture 5: Numerical Differentiation
31:57
[Numerical Methods] Lecture 5: Numerical Differentiation
Lecture 7: Orthogonality, the Gram-Schmidt Procedure & Least Squares Problem
1:13:22
Lecture 7: Orthogonality, the Gram-Schmidt Procedure & Least Squares Problem
[Numerical Methods] Lecture 4: LU Decomposition & Matrix Inverse
40:56
[Numerical Methods] Lecture 4: LU Decomposition & Matrix Inverse
Lecture 6: Matrix Diagonalization & The Cayley-Hamilton Theorem
53:57
Lecture 6: Matrix Diagonalization & The Cayley-Hamilton Theorem
Lecture 5: Eigenvalues & Eigenvectors
43:09
Lecture 5: Eigenvalues & Eigenvectors
[Numerical Methods] Lecture 3: Solving a System of Linear Equations
39:12
[Numerical Methods] Lecture 3: Solving a System of Linear Equations
[Numerical Methods] Lecture 2: Solving Nonlinear Equations
1:00:18
[Numerical Methods] Lecture 2: Solving Nonlinear Equations
Lecture 2: Computational Mathematics - Linear Algebra
42:29
Lecture 2: Computational Mathematics - Linear Algebra
[Numerical Methods] Lecture 1: Linear Regression
1:09:46
[Numerical Methods] Lecture 1: Linear Regression
Lecture 1: Computational Mathematics - Linear Algebra
53:41
Lecture 1: Computational Mathematics - Linear Algebra
Lecture 12: Probability & Statistics (SSP)
1:11:17
Lecture 12: Probability & Statistics (SSP)
Lecture 11: Statistics - A Short Introduction
31:41
Lecture 11: Statistics - A Short Introduction
Lecture 10: Discrete Joint Probability Distributions
47:34
Lecture 10: Discrete Joint Probability Distributions
Lecture 11: Probability & Statistics (SSP)
36:09
Lecture 11: Probability & Statistics (SSP)
[EMPx11] Lecture 13: Matrix Exponential & Applications
42:20
[EMPx11] Lecture 13: Matrix Exponential & Applications
Lecture 11: Orthogonality and the Gram-Schmidt Procedure
37:09
Lecture 11: Orthogonality and the Gram-Schmidt Procedure
Lecture 10: Probability & Statistics (SSP)
1:09:20
Lecture 10: Probability & Statistics (SSP)
Lecture 9: Normal Distribution
28:24
Lecture 9: Normal Distribution
Lecture 9: Probability and Statistics (SSP)
59:41
Lecture 9: Probability and Statistics (SSP)
[EMPx11]: Mini-Lecture: Intro to Differential Equations Solving x'=ax
16:05
[EMPx11]: Mini-Lecture: Intro to Differential Equations Solving x'=ax
[EMPx11] Lecture 12: Diagonalization & Decoupling
56:59
[EMPx11] Lecture 12: Diagonalization & Decoupling