7.2b: Singular Value Decomposition, SVD

The SVD factors each matrix A into an orthogonal matrix U times a diagonal matrix Σ (the singular value) times another orthogonal matrix VT: rotation times stretch times rotation.

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  • Originally Aired January 26, 2016
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  • Created September 13, 2025 by
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  • Modified September 13, 2025 by
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