Difference between revisions of "Decompose"

 
(Copy/pasted from user guide)
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[[category:Matrix Functions]]
 
[[category:Matrix Functions]]
  
Cholesky decomposition of a matrix.
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'''Decompose(C,I,J)'''
  
{{stub}}
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Returns the Cholesky decomposition (square root) matrix of
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matrix C along dimensions I and J. Matrix C must be symmetric
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and positive-definite. (Positive-definite means that v * C * v > 0,
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for all vectors v.)
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Cholesky decomposition computes a lower diagonal matrix L
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such that L * L' = C, where L' is the transpose of L.

Revision as of 21:58, 2 February 2007


Decompose(C,I,J)

Returns the Cholesky decomposition (square root) matrix of matrix C along dimensions I and J. Matrix C must be symmetric and positive-definite. (Positive-definite means that v * C * v > 0, for all vectors v.)

Cholesky decomposition computes a lower diagonal matrix L such that L * L' = C, where L' is the transpose of L.

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