Difference between revisions of "Manuals/calci/CHOLESKY"
Jump to navigation
Jump to search
Line 18: | Line 18: | ||
==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]])
4 | 0 | 0 |
3 | 3 | 0 |
-1.25 | 1.25 | 2.80624 |
CHOLESKY([[25, 15, -5],[15, 18, 0],[ -5, 0, 11]])