Singular value decomposition
id:
singular-value-decomposition-180-4246465
title:
Singular value decomposition
text:
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 m × n matrix. It is related to the polar decomposition. Specifically, the singular value decomposition of an m × n complex matrix M is a factorization of the form M = U Σ V ∗, where U is an m × m complex un
brand slug:
wiki
category slug:
encyclopedia
description:
Matrix decomposition
original url:
https://en.wikipedia.org/wiki/Singular_value_decomposition
date created:
2002-10-30T01:03:36Z
date modified:
2024-09-05T07:26:14Z
main entity:
{"identifier":"Q420904","url":"https://www.wikidata.org/entity/Q420904"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/b/bb/Singular-Value-Decomposition.svg","width":512,"height":463}
fields total:
13
integrity:
16