SVD Command

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SVD( <Matrix> )
Returns the Singular Value Decomposition of the matrix (as a list of 3 matrices).
Example:
SVD[{{3, 1, 1}, {-1, 3, 1}}] yields a list containing \mathrm{\mathsf{ \left(\begin{array}{}-0.71&0.71\\0.71&0.71\\\end{array}\right) }}, \mathrm{\mathsf{ \left(\begin{array}{}3.16&0\\0&3.46\\\end{array}\right) }}, \mathrm{\mathsf{ \left(\begin{array}{}-0.89&0.41\\0.45&0.82\\0&0.41\\\end{array}\right) }}.


Note:
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