MIT

Lecture 24: Markov matrices; fourier series (M-I-T)

Lecture 9: Independence, basis, and dimension (M-I-T)

Lecture 24b: Quiz 2 review (M-I-T)

Lecture 25: Symmetric matrices and positive definiteness (M-I-T)

Lecture 26: Complex matrices; fast fourier transform (M-I-T)

Lecture 27: Positive definite matrices and minima (M-I-T)

Lecture 28: Similar matrices and Jordan form (M-I-T)

Lecture 29: Singular value decomposition (M-I-T)

Lecture 2: Elimination with matrices (M-I-T)

Lecture 30: Linear transformations and their matrices (M-I-T)

Lecture 31: Change of basis; image compression (M-I-T)

Lecture 10: Shocks and Fans from Point Source (M-I-T)

Lecture 11: Level Set Method (M-I-T)

Lecture 12: Matrices in Difference Equations (1D, 2D, 3D) (M-I-T)

Lecture 13: Elimination with Reordering: Sparse Matrices (M-I-T)

Lecture 14: Financial Mathematics / Black-Scholes Equation (M-I-T)

Lecture 15: Iterative Methods and Preconditioners (M-I-T)

Lecture 16: General Methods for Sparse Systems (M-I-T)

Lecture 17: Multigrid Methods (M-I-T)

Lecture 18: Krylov Methods / Multigrid Continued (M-I-T)

Lecture 6: Wave Profiles, Heat Equation / point source (M-I-T)

Lecture 19: Conjugate Gradient Method (M-I-T)

Lecture 7: Finite Differences for the Heat Equation (M-I-T)

Lecture 1: Difference Methods for Ordinary Differential Equations (M-I-T)

Lecture 8: Convection-Diffusion / Conservation Laws (M-I-T)