Orthogonal Matrices and Gram-Schmidt18.06 · Linear Algebra · Lec 16·Convex Optimization · Gilbert Strang · MITGilbert StrangMIT—49:10
Four Ways to Solve Least Squares ProblemsMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 9·Linear Algebra · Gilbert Strang · MITGilbert StrangMIT—49:51
Orthonormal Columns in Q Give Q'Q = IMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 3·Convex Optimization · Gilbert Strang · MITGilbert StrangMIT—49:24
Projections onto Subspaces18.06 · Linear Algebra · Lec 14·Convex Optimization · Gilbert Strang · MITGilbert StrangMIT—48:51
Positive Definite and Semidefinite MatricesMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 5·Convex Optimization · Gilbert Strang · MITGilbert StrangMIT—45:27
Orthogonal Vectors and Subspaces18.06 · Linear Algebra · Lec 13·Convex Optimization · Gilbert Strang · MITGilbert StrangMIT—49:48
Projection Matrices and Least Squares18.06 · Linear Algebra · Lec 15·Convex Optimization · Gilbert Strang · MITGilbert StrangMIT—48:05
Minimizing "x" Subject to Ax = bMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 11·Convex Optimization · Gilbert Strang · MITGilbert StrangMIT—50:22
Linear Transformations in GeometryLinear Algebra: Systems, Matrices & Transformations · Lec 7·Convex Optimization · Valerie Hower · Florida International UniversityValerie HowerFlorida International University—1:10:03
Max-Min Problems; Least Squares18.02 · Multivariable Calculus · Lec 9·Linear Algebra · Denis Auroux · MITDenis AurouxMIT—49:44
Linear Algebra: Extra Practice Worksheet 3Linear Algebra: Systems, Matrices & Transformations · Lec 12·Convex Optimization · Valerie Hower · Florida International UniversityValerie HowerFlorida International University—17:10