Difference between revisions of "Manuals/calci/CHOLESKY"

From ZCubes Wiki
Jump to navigation Jump to search
Line 43: Line 43:
 
*This is a Cholesky Factorization of order <math>n-1</math>
 
*This is a Cholesky Factorization of order <math>n-1</math>
 
</ol>
 
</ol>
 
==ZOS Section==
 
  
 
==Examples==
 
==Examples==
1. =CHOLESKY([[16,32,12],[12, 18, 0],[ -5, 0, 11]])  
+
{| class="wikitable"
 +
|+Spreadsheet
 +
|-
 +
! !! A !! B !! C     
 +
|-
 +
! 1
 +
| 16 || 32 || 12
 +
|-
 +
! 2
 +
| 12 || 18 || 0
 +
|-
 +
|-5 || 0 || 11
 +
|}
 +
=CHOLESKY(A1:C3)  
  
 
{| class="wikitable"
 
{| class="wikitable"

Revision as of 09:02, 4 September 2017

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 =
 is lower triangular with positive diagonal elements
 is is the conjugate transpose value of 
  • Every Hermitian positive-definite matrix has a unique Cholesky decomposition.
  • Here , is set of values to find the factorization value.
  • Partition matrices in = is

Algorithm

  1. Determine and
  2. = =
  3. Compute from
  4. =
    • This is a Cholesky Factorization of order

Examples

Spreadsheet
A B C
1 16 32 12
2 12 18 0

=CHOLESKY(A1:C3)

Result
4 0 0
3 3 0
-1.25 1.25 2.80624

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

Result
5 0 0
3 3 0
-1 1 3

Related Videos

Cholesky Decomposition

See Also

References