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Calculates the LU matrix decomposition such that P×input=L×U, where L is lower triangular (with unit diagonal terms), U is upper triangular and P is a partial pivot permutation matrix. The input matrix must be square. Returns a dictionary with entries named 'L', 'U' and 'P'.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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."],[[["The `matrixLUDecomposition()` function calculates the LU decomposition of a square input array."],["It returns a dictionary containing the lower triangular matrix (L), upper triangular matrix (U), and permutation matrix (P)."],["The decomposition satisfies the equation P×input=L×U, where L has unit diagonal terms."],["This function is applicable to any square array and is accessed using `Array.matrixLUDecomposition()`."]]],[]]