mkl_?getrfnp

Developer Reference for Intel® oneAPI Math Kernel Library for C

Download PDF

ID 766684

Date 10/31/2024

Version

Public

A newer version of this document is available. Customers should click here to go to the newest version.

mkl_?getrfnp

Computes the LU factorization of a general m-by-n matrix without pivoting.

Syntax

lapack_int LAPACKE_mkl_sgetrfnp (int matrix_layout , lapack_int m , lapack_int n , float * a , lapack_int lda );

lapack_int LAPACKE_mkl_dgetrfnp (int matrix_layout , lapack_int m , lapack_int n , double * a , lapack_int lda );

lapack_int LAPACKE_mkl_cgetrfnp (int matrix_layout , lapack_int m , lapack_int n , lapack_complex_float * a , lapack_int lda );

lapack_int LAPACKE_mkl_zgetrfnp (int matrix_layout , lapack_int m , lapack_int n , lapack_complex_double * a , lapack_int lda );

Include Files

mkl.h

Description

The routine computes the LU factorization of a general m-by-n matrix A as

A = L*U,

where L is lower triangular with unit-diagonal elements (lower trapezoidal if m > n) and U is upper triangular (upper trapezoidal if m < n). The routine does not use pivoting.

Input Parameters

matrix_layout	Specifies whether matrix storage layout is row major (LAPACK_ROW_MAJOR) or column major (LAPACK_COL_MAJOR).
m	The number of rows in the matrix `A` (`m`≥ 0).
n	The number of columns in `A`; `n`≥ 0.
a	Array, size at least max(1, ldan) for column-major layout or max(1, ldam) for row-major layout. Contains the matrix `A`.
lda	The leading dimension of array `a`, which must be at least max(1, m) for column-major layout or max(1, n) for row-major layout.

Output Parameters

a	Overwritten by `L` and `U`. The unit diagonal elements of `L` are not stored.

Return Values

This function returns a value info.

If info=0, the execution is successful.

If info = -i, parameter i had an illegal value.

If info = i, u_ii is 0. The factorization has been completed, but U is exactly singular. Division by 0 will occur if you use the factor U for solving a system of linear equations.

Application Notes

The approximate number of floating-point operations for real flavors is

(2/3)`n`³	If `m = n`,
(1/3)`n`²(3`m`-`n`)	If `m>n`,
(1/3)`m`²(3`n`-`m`)	If `m<n`.

The number of operations for complex flavors is four times greater.

After calling this routine with m = n, you can call the following:

mkl_?getrinp: to compute the inverse of A

Parent topic: Matrix Factorization: LAPACK Computational Routines

Select Your Language

Using Intel.com Search

Quick Links

Recent Searches

Advanced Search

Only search in

Developer Reference for Intel® oneAPI Math Kernel Library for C

mkl_?getrfnp

Syntax

Include Files

Description

Input Parameters

Output Parameters

Return Values

Application Notes

See Also