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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[A\Biggr] = \Biggl[U\Biggr] \dot \Biggl[\Sigma\Biggr] \dot \Biggl[V\Biggr]^T</math>
+
<math>\Biggl( A \Biggr] = \Biggl( U \Biggr] \dot \Biggl( \Sigma \Biggr] \dot \Biggl( V \Biggr]^T</math>
  
 
=== LU Decomposition ===
 
=== LU Decomposition ===

Revision as of 17:25, 30 July 2017

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>

LU Decomposition