Singular Recast
Singular
Communication
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What's New
Version 2.1.0
No changelog available yet.
Description
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.
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