Singular Value Decomposition (SVD) Task

From GM-RKB
(Redirected from SVD decomposition task)
Jump to navigation Jump to search

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.)



References

2015

2009

2001

1997

1990

1981