From Wakapon

Line 6: | Line 6: | ||

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]</math> |

+ | |||

+ | = \Biggl\[ U \Biggr] \dot \Biggl\[ \Sigma \Biggr] \dot \Biggl\[ V \Biggr]^T</math> | ||

=== LU Decomposition === | === LU Decomposition === |

## Revision as of 16:26, 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]</math>

= \Biggl\[ U \Biggr] \dot \Biggl\[ \Sigma \Biggr] \dot \Biggl\[ V \Biggr]^T</math>