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Revision as of 17:21, 30 July 2017
Contents
Matrix Decomposition Methods
QR Decomposition
SVD Decomposition
Singular Value Decomposition (SVD) is the process of decomposing a matrix A this way:
<math>\Biggl[A\Biggr] = \Biggl[U\Biggr] \dot \Biggl[\Sigma\Biggr] \dot \Biggl[V\Biggr]^T</math>