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What is SVD of a 3x3 Matrix Explained about?

The document discusses singular value decomposition (SVD), which expresses any matrix A as the product of three matrices: A = UΣV T , where U and V are orthogonal matrices and Σ is a diagonal matrix containing the singular values of A. It provides an example of computing the SVD of the matrix A and using it to describe A

Author

dev1712

Language

EN