: Mathématiques: singular value decomposition

mathematical analysis > functional analysis > singular value decomposition

algebra > linear algebra > matrix > matrix decomposition > singular value decomposition

singular value decomposition

In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix. It generalizes the eigendecomposition of a square normal matrix with an orthonormal eigenbasis to any ${\\displaystyle \\ m\ imes n\\ }$ matrix. It is related to the polar decomposition.
(Wikipedia, The Free Encyclopedia, https://en.wikipedia.org/wiki/Singular_value_decomposition)

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