Stay organized with collectionsSave and categorize content based on your preferences.
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 an image with bands 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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."],[[["\u003cp\u003eThis operation calculates the LU matrix decomposition of a square input matrix, represented as P×input=L×U.\u003c/p\u003e\n"],["\u003cp\u003eIt returns an image containing three bands: 'L' representing the lower triangular matrix, 'U' representing the upper triangular matrix, and 'P' representing the permutation matrix.\u003c/p\u003e\n"],["\u003cp\u003eThe input for this operation must be a 2-D matrix image.\u003c/p\u003e\n"]]],[],null,["# ee.Image.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 an image with bands named 'L', 'U' and 'P'.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------------------|---------|\n| Image.matrixLUDecomposition`()` | Image |\n\n| Argument | Type | Details |\n|---------------|-------|-----------------------------------------|\n| this: `image` | Image | Image of 2-D matrices to be decomposed. |"]]
