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
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Fall
2015
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