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Calculates the Cholesky decomposition of a matrix. The Cholesky decomposition is a decomposition into the form L * L' where L is a lower triangular matrix. The input must be a symmetric positive-definite matrix. Returns a dictionary with 1 entry named 'L'.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[[["This function calculates the Cholesky decomposition of a symmetric positive-definite matrix, breaking it down into the form L \\* L' where L is a lower triangular matrix."],["The decomposition result is returned as a dictionary containing the lower triangular matrix 'L'."],["It is specifically designed for array objects and requires the input array to be both symmetric and positive-definite."],["The function is invoked using the `matrixCholeskyDecomposition()` method on an array object."]]],["The `matrixCholeskyDecomposition` function computes the Cholesky decomposition of a symmetric positive-definite matrix. It decomposes the input matrix into a lower triangular matrix (L) and its transpose (L'). The function requires an array as input. It returns a dictionary containing the lower triangular matrix 'L' as its sole entry. This decomposition represents the matrix in the form L * L'.\n"]]