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6.49.8  Singular value decomposition: svd

The singular value decomposition of a matrix A is a factorization A=USQT, where U and Q are orthogonal and S is a diagonal matrix. The svd command finds the singular value decomposition of a matrix.

You can get the diagonal matrix S from s with S=diag(s) (see Section 6.44.2).


Examples.


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