Singular Value Decomposition (SVD): Mathematical OverviewMathematics·Standalone Lecture·Algorithmic Information & Coding Theory · Steve Brunton · University of WashingtonSteve BruntonUniversity of Washington3 ch12:50
Structured Iterative Approximations in Numerical (Multi-)Linear AlgebraMathematics·Conference Talk·Programming Languages · Nicolas Venkovic · JuliaCon GlobalNicolas VenkovicJGJuliaCon Global—24:46
Matrix Multiplication and Inverse Matrices18.06 · Linear Algebra · Lec 3·Singular Value Decomposition (SVD) · Gilbert Strang · MITGilbert StrangMIT5 ch46:30
Eckart-Young: The Closest Rank k Matrix to AMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 7·Singular Value Decomposition (SVD) · Gilbert Strang · MITGilbert StrangMIT—47:16
Low Rank Changes in A and Its InverseMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 14·Singular Value Decomposition (SVD) · Gilbert Strang · MITGilbert StrangMIT—50:34
Singular Value Decomposition (SVD)Matrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 6·Singular Value Decomposition (SVD) · Gilbert Strang · MITGilbert StrangMIT—53:33
Rapidly Decreasing Singular ValuesMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 17·Singular Value Decomposition (SVD) · Alex Townsend · MITAlex TownsendMIT—50:34
Counting Parameters in SVD, LU, QR, Saddle PointsMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 18·Singular Value Decomposition (SVD) · Gilbert Strang · MITGilbert StrangMIT—49:00