Gilbert Strang

In this video, Professor Gilbert Strang shares how he infuses linear algebra with a sense of humanity as a way to engage students in learning mathematics.

An Interview with Gilbert Strang on Teaching Linear Algebra

Lecture 34: Final Course Review

Lecture 33: Left and Right Inverses; Pseudoinverse

Lecture 32: Quiz 3 Review

Lecture 31: Change of Basis; Image Compression

Lecture 30: Linear Transformations and Their Matrices

Lecture 29: Singular Value Decomposition

Lecture 27: Positive Definite Matrices and Minima

Lecture 26: Complex Matrices; Fast Fourier Transform

Lecture 25: Symmetric Matrices and Positive Definiteness

Lecture 24b: Quiz 2 Review

Lecture 24: Markov Matrices; Fourier Series

Lecture 23: Differential Equations and exp(At)

Lecture 22: Diagonalization and Powers of A

Lecture 21: Eigenvalues and Eigenvectors

Lecture 20: Cramer's Rule, Inverse Matrix, and Volume

Lecture 19: Determinant Formulas and Cofactors

Lecture 18: Properties of Determinants

Lecture 17: Orthogonal Matrices and Gram-Schmidt

Lecture 16: Projection Matrices and Least Squares

Thank you so much for these lectures!  Amazing!

The reviews speak for themselves

Gives a deep, motivated, understanding of what linear algebra is.

Amazing class.

Linear Algebra

Lecture 02: Elimination with Matrices

Lecture 03: Multiplication and Inverse Matrices

Lecture 06: Column Space and Nullspace

Lecture 05: Transposes, Permutations, Spaces R^n

Lecture 04: Factorization into A = LU

Lecture 10: The Four Fundamental Subspaces

Lecture 09: Independence, Basis, and Dimension

Lecture 07: Solving Ax = 0: Pivot Variables, Special Solutions

Lecture 12: Graphs, Networks, Incidence Matrices

Lecture 11: Matrix Spaces; Rank 1; Small World Graphs

Lecture 08: Solving Ax = b: Row Reduced Form R

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