The Geometry of Linear Equations18.06 · Linear Algebra · Lec 1·Gaussian Elimination & Matrix Systems · Gilbert Strang · MITGilbert StrangMIT5 ch39:49
Elimination with Matrices18.06 · Linear Algebra · Lec 2·Gaussian Elimination & Matrix Systems · Gilbert Strang · MITGilbert StrangMIT4 ch47:42
Country Risk: Determinants, Measures, and Implications (2026 Edition)Economics·Standalone Lecture·Linear Algebra · Aswath Damodaran · New York UniversityAswath DamodaranNew York University—37:00
Linear Algebra: Introduction to Linear SystemsLinear Algebra: Systems, Matrices & Transformations · Lec 2·Gaussian Elimination & Matrix Systems · Valerie Hower · Florida International UniversityValerie HowerFlorida International University—41:07
Matrix Multiplication and Inverse Matrices18.06 · Linear Algebra · Lec 3·Singular Value Decomposition (SVD) · Gilbert Strang · MITGilbert StrangMIT5 ch46:30
Determinants; cross product18.02 · Multivariable Calculus · Lec 2·Calculus & Analysis · Denis Auroux · MITDenis AurouxMIT—52:51
Linear Algebra: Matrices, Vectors, and Gauss-Jordan EliminationLinear Algebra: Systems, Matrices & Transformations · Lec 3·Gaussian Elimination & Matrix Systems · Valerie Hower · Florida International UniversityValerie HowerFlorida International University—1:02:38
Multiplying and Factoring MatricesMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 2·Gaussian Elimination & Matrix Systems · Gilbert Strang · MITGilbert StrangMIT—48:25
Multiple Integrals in 2D; Change of Variables and JacobiansUndergraduate Student Lectures · Lec 12·Calculus & Analysis · Sarah Waters · University of OxfordSarah WatersUniversity of Oxford—48:06
Linear Systems and Matrix AlgebraLinear Algebra: Systems, Matrices & Transformations · Lec 4·Gaussian Elimination & Matrix Systems · Valerie Hower · Florida International UniversityValerie HowerFlorida International University—1:10:35
Survey of Difficulties with Ax = bMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 10·Eigenvalues & Spectral Theory · Gilbert Strang · MITGilbert StrangMIT—49:36
Positive Definite and Semidefinite MatricesMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 5·Convex Optimization · Gilbert Strang · MITGilbert StrangMIT—45:27
Determinant Formulas and Cofactors18.06 · Linear Algebra · Lec 18·Gaussian Elimination & Matrix Systems · Gilbert Strang · MITGilbert StrangMIT—53:17
Properties of Determinants18.06 · Linear Algebra · Lec 17·Gaussian Elimination & Matrix Systems · Gilbert Strang · MITGilbert StrangMIT—49:12
Matrices; inverse matrices18.02 · Multivariable Calculus · Lec 3·Gaussian Elimination & Matrix Systems · Denis Auroux · MITDenis AurouxMIT—51:04
Randomized Matrix MultiplicationMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 13·Gaussian Elimination & Matrix Systems · Gilbert Strang · MITGilbert StrangMIT—52:24
Factorization into A = LU18.06 · Linear Algebra · Lec 4·Gaussian Elimination & Matrix Systems · Gilbert Strang · MITGilbert StrangMIT4 ch48:05
Cramer's Rule, Inverse Matrix, and Volume18.06 · Linear Algebra · Lec 19·Gaussian Elimination & Matrix Systems · Gilbert Strang · MITGilbert StrangMIT—51:01
Linear Algebra: Matrix ProductLinear Algebra: Systems, Matrices & Transformations · Lec 9·Gaussian Elimination & Matrix Systems · Valerie Hower · Florida International UniversityValerie HowerFlorida International University—56:13
MAE5790-5 Two dimensional linear systemsMAE 5790 · Nonlinear Dynamics and Chaos · Lec 5·Linear Algebra · Steven Strogatz · Cornell UniversitySteven StrogatzCornell University—1:15:20