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Calculates the Singular Value Decomposition of the input matrix into U×S×V', such that U and V are orthogonal and S is diagonal. Returns a dictionary with entries named 'U', 'S' and 'V'.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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\u003eComputes the Singular Value Decomposition (SVD) of an input array, expressing it as a product of three matrices: U, S, and V'.\u003c/p\u003e\n"],["\u003cp\u003eThe result is provided as a dictionary containing the matrices U, S (singular values), and V, where U and V are orthogonal and S is diagonal.\u003c/p\u003e\n"],["\u003cp\u003eThe function \u003ccode\u003ematrixSingularValueDecomposition()\u003c/code\u003e is applied to an array and returns the SVD decomposition in dictionary format.\u003c/p\u003e\n"]]],[],null,["# ee.Array.matrixSingularValueDecomposition\n\nCalculates the Singular Value Decomposition of the input matrix into U×S×V', such that U and V are orthogonal and S is diagonal. Returns a dictionary with entries named 'U', 'S' and 'V'.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|--------------------------------------------|------------|\n| Array.matrixSingularValueDecomposition`()` | Dictionary |\n\n| Argument | Type | Details |\n|---------------|-------|-------------------------|\n| this: `array` | Array | The array to decompose. |"]]
