Applied Mathematics and ATA

Singular Value Decomposition (the SVD)

Description: The SVD factors each matrix into an orthogonal matrix times a diagonal matrix (the singular value) times another orthogonal matrix: Rotation times stretch times rotation.

Related section in textbook: 7.2b

Instructor: Prof. Gilbert Strang