LUDecomposition

可用

LU decomposition with partial pivoting. Wolfram returns the separate lower- and

形式

LUDecomposition[m]

已驗證的範例LUDecomposition[{{0, 1}, {1, 0}}] → {LowerTriangularMatrix[StructuredArray`StructuredData[{2, 2}, {{1, 0}, {0, 1}}]], UpperTriangularMatrix[StructuredArray`StructuredData[{2, 2}, {{1, 0}, {0, 1}}]], PermutationMatrix[StructuredArray`StructuredData[{2, 2}, {Cycles[{{1, 2}}], Infinity}]], 0}LUDecomposition[{{1., 3.}, {2., 1.}}] → {LowerTriangularMatrix[StructuredArray`StructuredData[{2, 2}, {{1., 0.}, {0.5, 1.}}]], UpperTriangularMatrix[StructuredArray`StructuredData[{2, 2}, {{2., 1.}, {0., 2.5}}]], PermutationMatrix[StructuredArray`StructuredData[{2, 2}, {Cycles[{{1, 2}}], Infinity}]], 3.2}選項

Modulus — default 0
Pivoting — default True
TargetStructure — default Automatic

在 Qurak 上執行搜尋參考文件

主題

Finite Fields - Linear Algebra over Finite Fields
Linear Systems - Minimization Problems»
Matrices And Linear Algebra - Matrix Decompositions »
Matrix Decompositions - Linear Equation - Related Decompositions
Summary Of New Features In140 - Finite Fields »
Summary Of New Features In140 - Interval Matrices

相關

LinearSolveFunction CholeskyDecomposition QRDecomposition SchurDecomposition LowerTriangularize UpperTriangularize UpperTriangularMatrixQ LowerTriangularMatrixQ LowerTriangularMatrix PermutationMatrix UpperTriangularMatrix Inverse

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