Overview

Cholesky decomposition


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If A is a non-singular symmetric matrix, then it can be expressed as the product LL′, where L is a lower triangular matrix and L′ is the transpose of L. The decomposition is useful in solving sets of linear equations and in matrix inversion.

Subjects: Probability and Statistics.


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