Singular Value Decomposition (SVD) Task

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A Singular Value Decomposition (SVD) Task is a matrix decomposition task where matrix [math]\displaystyle{ M }[/math] requires an SVD decomposition, [math]\displaystyle{ UΣV^T }[/math] (with [math]\displaystyle{ U }[/math] being an orthonormal matrix, [math]\displaystyle{ \Sigma }[/math] being a nonnegative diagonal matrix, and [math]\displaystyle{ V^T }[/math] being an orthonormal matrix.)



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