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mql5-skills/skills/mql5/references/docs/06-matrix/0495-matrix-openblas-factorizations-factorizationpluraw.md
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2026-06-23 21:47:51 +08:00

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FactorizationPLURaw

Computes an LU factorization of a general M-by-N matrix A using partial pivoting with row interchanges. The factorization has the form

A = P * L * U

where P is a permutation matrix, L is lower triangular with unit diagonal elements (lower trapezoidal if m > n), and U is upper triangular (upper trapezoidal if m < n). LAPACK function GETRF.

Computing for type matrix

bool  matrix::FactorizationPLURaw(
   matrix&         AF,           // factored matrix A
   long[]&         ipiv          // pivot indices array
   );

Computing for type matrix

bool  matrixf::FactorizationPLURaw(
   matrixf&        AF,           // factored matrix A
   long[]&         ipiv          // pivot indices array
   );

Computing for type matrix

bool  matrixc::FactorizationPLURaw(
   matrixc&        AF,           // factored matrix A
   long[]&         ipiv          // pivot indices array
   );

Computing for type matrix

bool  matrixcf::FactorizationPLURaw(
   matrixcf&       AF,           // factored matrix A
   long[]&         ipiv          // pivot indices array
   );

Parameters

AF

[out]  Factored matrix A. The factors L and U from the factorization  A = PLU; the unit diagonal elements of L are not stored.

ipiv

[out]  Pivot indices array of size M; row i of the matrix A was interchanged with row  ipiv[i].

Return Value

Return true if successful, otherwise false in case of an error.

Note

Matrix AF and pivot indices array ipiv[] are raw output of the GETRF function and can be used for further calculations with methods PLULinearEquationsSolution, PLUInverse and PLUCondNumReciprocal. In these cases original matrix A must be square.