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  1. 1 dzień temu · In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix into a rotation, followed by a rescaling followed by another rotation. It generalizes the eigendecomposition of a square normal matrix with an orthonormal eigenbasis to any ⁠ ⁠ matrix. It is related to the polar decomposition.. Specifically, the singular value decomposition of an ...