Difference between revisions of "Decompose"
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[[category:Matrix Functions]] | [[category:Matrix Functions]] | ||
− | + | '''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. |
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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