https://github.com/vilarj/singular-value-decomposition
In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix that generalizes the eigendecomposition of a square normal matrix to any MxN matrix via an extension of the polar decomposition.
https://github.com/vilarj/singular-value-decomposition
matlab singular-value-decomposition
Last synced: 6 months ago
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In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix that generalizes the eigendecomposition of a square normal matrix to any MxN matrix via an extension of the polar decomposition.
- Host: GitHub
- URL: https://github.com/vilarj/singular-value-decomposition
- Owner: vilarj
- Created: 2020-12-05T18:49:15.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2020-12-05T19:05:15.000Z (almost 5 years ago)
- Last Synced: 2025-02-01T06:43:49.305Z (8 months ago)
- Topics: matlab, singular-value-decomposition
- Language: MATLAB
- Homepage:
- Size: 1020 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Singular Value Decomposition (SVD)
In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix that generalizes the eigendecomposition of a square normal matrix to any MxN matrix via an extension of the polar decomposition.