04 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 {\displaystyle m\times n} matrix via an extension of the polar decomposition.

Singular value decomposition

Below is the demo in English, हिंदी (Hindi), తెలుగు(Telugu)

English

हिंदी (Hindi)

తెలుగు (Telugu)

reduction: https://en.wikipedia.org/wiki/Gaussian_elimination
Example : https://www.d.umn.edu/~mhampton/m4326svd_example.pdf

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