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Singular Value Decomposition (the SVD)

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MIT Learn Differential Equations: Up Close with Gilbert Strang and Cleve Moler, Fall 2015 View the complete course: Instructor: Gilbert Strang 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. License: Creative Commons BY-NC-SA More information at More courses at

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