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ee.Array.matrixLUDecomposition
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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'.
| Usage | Returns | Array.matrixLUDecomposition() | Dictionary |
| Argument | Type | Details | this: array | Array | The array to decompose. |
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["\u003cp\u003eThe \u003ccode\u003ematrixLUDecomposition()\u003c/code\u003e function calculates the LU decomposition of a square input array.\u003c/p\u003e\n"],["\u003cp\u003eIt returns a dictionary containing the lower triangular matrix (L), upper triangular matrix (U), and permutation matrix (P).\u003c/p\u003e\n"],["\u003cp\u003eThe decomposition satisfies the equation P×input=L×U, where L has unit diagonal terms.\u003c/p\u003e\n"],["\u003cp\u003eThis function is applicable to any square array and is accessed using \u003ccode\u003eArray.matrixLUDecomposition()\u003c/code\u003e.\u003c/p\u003e\n"]]],[],null,["# ee.Array.matrixLUDecomposition\n\nCalculates 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'.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------------------|------------|\n| Array.matrixLUDecomposition`()` | Dictionary |\n\n| Argument | Type | Details |\n|---------------|-------|-------------------------|\n| this: `array` | Array | The array to decompose. |"]]