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(Created page with "== Matrix Decomposition Methods == === QR Decomposition === === SVD Decomposition === Singular Value Decomposition (SVD) is the process of decomposing a matrix A this way: ...") |
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Singular Value Decomposition (SVD) is the process of decomposing a matrix A this way: | Singular Value Decomposition (SVD) is the process of decomposing a matrix A this way: | ||
| − | <math>\Biggl | + | <math>\Biggl( A \Biggr] = \Biggl( U \Biggr] \dot \Biggl( \Sigma \Biggr] \dot \Biggl( V \Biggr]^T</math> |
=== LU Decomposition === | === LU Decomposition === | ||
Revision as of 16:25, 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>