Difference between revisions of "Manuals/calci/CHOLESKY"

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==Examples==
 
==Examples==
 
CHOLESKY([[16,32,12],[12, 18, 0],[ -5, 0, 11]])  
 
CHOLESKY([[16,32,12],[12, 18, 0],[ -5, 0, 11]])  
 +
 +
{| class="wikitable"
 +
|+Matrix A
 +
|-
 +
| 4 || 0 || 0
 +
|-
 +
| 3 || 3 || 0
 +
|-
 +
| -1.25 || 1.25 || 2.80624
 +
|}
 +
 
CHOLESKY([[25, 15, -5],[15, 18, 0],[ -5, 0, 11]])
 
CHOLESKY([[25, 15, -5],[15, 18, 0],[ -5, 0, 11]])
  
 
==See Also==
 
==See Also==

Revision as of 05:57, 8 April 2015

CHOLESKY(arr)


  • is the array of numeric elements

Description

  • This function gives the value of Cholesky factorization.
  • It is called Cholesky Decomposition or Cholesky Factorization.
  • The Cholesky Factorization is only defined for symmetric or Hermitian positive definite matrices.
  • Every positive definite matrix A can be factored as =

where

 is lower triangular with positive diagonal elements
 is is the conjugate transpose value of 
  • Every Hermitian positive-definite matrix (and thus also every real-valued symmetric positive-definite matrix) has a unique Cholesky decomposition.
  • Here , is set of values to find the factorization value.
  • Partition matrices in as = (Please take the description from http://www.seas.ucla.edu/~vandenbe/103/lectures/chol.pdf )

ZOS Section

Examples

CHOLESKY([[16,32,12],[12, 18, 0],[ -5, 0, 11]])

Matrix A
4 0 0
3 3 0
-1.25 1.25 2.80624

CHOLESKY([[25, 15, -5],[15, 18, 0],[ -5, 0, 11]])

See Also