Gil Strang

Lecture 01: Four special matrices

Recitation 01: Key ideas of linear algebra

Lecture 02: Difference equations

Lecture 03: Solving a linear system

Lecture 04: Delta function day!

Lecture 05: Eigenvalues (part 1)

Lecture 28: Fourier series (part 1)

Lecture 07: Positive definite day!

Lecture 29: Fourier series (part 2)

Lecture 06: Eigenvalues (part 2); positive definite (part 1)

Lecture 23: Laplace's equation (part 1)

Lecture 17: Finite elements in 1D (part 1)

Lecture 18: Finite elements in 1D (part 2)

Lecture 27: Finite elements in 2D (part 2)

Lecture 30: Discrete Fourier series

Lecture 24: Laplace's equation (part 2)

Lecture 09: Oscillation

Lecture 22: Gradient and divergence (part 2)

Lecture 16: Trusses (part 2)

Lecture 12: Graphs and networks

Lecture 08: Springs and masses; the main framework

Recitation 11

Recitation 13

Lecture 33: Filters; Fourier integral transform (part 1)

Recitation 12

Lecture 21: Boundary conditions, splines, gradient and divergence (part 1)

Lecture 15: Trusses and A^(T)CA

Lecture 19: Quadratic/cubic elements

Lecture 14: Exam Review

Recitation 04

Recitation 07

Recitation 02

Lecture 35: Convolution equations: deconvolution; convolution in 2D

Lecture 34: Fourier integral transform (part 2)

Lecture 36: Sampling Theorem

Lecture 32: Convolution (part 2); filtering

Lecture 26: Fast Poisson solver (part 2); finite elements in 2D (part 1)

Recitation 09

Recitation 10

Lecture 31: Examples of discrete Fourier transform; fast Fourier transform; convolution (part 1)

Recitation 05

Lecture 13: Kirchhoff's Current Law

Recitation 03

Recitation 06

Recitation 08

Lecture 20: Element matrices; 4th order bending equations

Lecture 11: Least squares (part 2)

Lecture 25: Fast Poisson solver (part 1)

Lecture 10: Finite differences in time; least squares (part 1)

Recitation 01