mkl_sparse_?_qr

Developer Reference for Intel® oneAPI Math Kernel Library for C

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ID 766684

Date 4/28/2026

Version

Public

mkl_sparse_?_qr_qmult

First stage of the solving step of the SPARSE QR solver.

Syntax

sparse_status_t mkl_sparse_d_qr_qmult ( sparse_operation_t operation,
                                        sparse_matrix_t A,
                                        sparse_layout_t layout,
                                        MKL_INT columns,
                                        double *x,
                                        MKL_INT ldx,
                                        const double *b,
                                        MKL_INT ldb );

sparse_status_t mkl_sparse_s_qr_qmult ( sparse_operation_t operation,
                                        sparse_matrix_t A,
                                        sparse_layout_t layout,
                                        MKL_INT columns,
                                        float *x,
                                        MKL_INT ldx,
                                        const float *b,
                                        MKL_INT ldb );

Include Files

mkl_sparse_qr.h

Description

The mkl_sparse_?_qr_qmult routine computes multiplication of inversed matrix, \(Q\), and right-hand side matrix \(b\). This routine can be used to perform the solving step of \(Q\cdot R\cdot x = b\) in two separate calls as an alternative to a single call of mkl_sparse_?_qr_solve .

\[x = Q^{-1}\cdot b = Q^{T} \cdot b\]

using the fact that \(Q\) is orthogonal, so that \(Q^{-1} = Q^{T}\).

NOTE:

Currently, mkl_sparse_?_qr_qmult supports only CSR format for the input matrix, non-transpose operation, and single right-hand side.

Input Parameters

operation

Specifies the operation to perform on \(A\), aka for solving \(op(A)\cdot x = b\).

NOTE:

Currently, the only supported value is SPARSE_OPERATION_NON_TRANSPOSE (non-transpose case; that is, \(A\cdot x = b\) is solved).

A

Handle containing a sparse matrix in an internal data structure.

layout

Describes the storage scheme for the dense matrix:

`SPARSE_LAYOUT_COLUMN_MAJOR`	Storage of elements uses column-major layout.
`SPARSE_LAYOUT_ROW_MAJOR`	Storage of elements uses row-major layout.

x

Array with a size of at least rows * cols :

	`layout` = `SPARSE_LAYOUT_COLUMN_MAJOR`	`layout` = `SPARSE_LAYOUT_ROW_MAJOR`
`rows` (number of rows in `x` )	`ldx`	Number of columns in `A`
`cols` (number of columns in `x` )	`columns`	`ldx`

columns

Number of columns in matrix b .

ldx

Specifies the leading dimension of matrix x .

b

Array with a size of at least rows * cols where

	`layout` = `SPARSE_LAYOUT_COLUMN_MAJOR`	`layout` = `SPARSE_LAYOUT_ROW_MAJOR`
`rows` (number of rows in `b` )	`ldb`	Number of columns in `A`
`cols` (number of columns in `b` )	`columns`	`ldb`

ldb

Specifies the leading dimension of matrix b .

Output Parameters

x

Overwritten by the updated matrix \(x \leftarrow Q^{-1}\cdot b = Q^{T}\cdot b\).

Return Values

Value indicating whether the operation was successful, and if not, why:

`SPARSE_STATUS_SUCCESS`	The operation was successful.
`SPARSE_STATUS_NOT_INITIALIZED`	The routine encountered an empty handle or matrix array.
`SPARSE_STATUS_ALLOC_FAILED`	Internal memory allocation failed.
`SPARSE_STATUS_INVALID_VALUE`	The input parameters contain an invalid value.
`SPARSE_STATUS_EXECUTION_FAILED`	Execution failed.
`SPARSE_STATUS_INTERNAL_ERROR`	An error in algorithm implementation occurred.
`SPARSE_STATUS_NOT_SUPPORTED`	The requested operation is not supported.

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