Version: 2021.1
Last Updated: 12/04/2020
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mkl_?coosm

Solves a system of linear matrix equations for a sparse matrix in the coordinate format (deprecated).

Syntax

void

mkl_scoosm

(

const

char

*transa

const

MKL_INT

const

MKL_INT

const

float

*alpha

const

char

*matdescra

const

float

*val

const

MKL_INT

*rowind

const

MKL_INT

*colind

const

MKL_INT

*nnz

const

float

const

MKL_INT

*ldb

float

const

MKL_INT

*ldc

);

void

mkl_dcoosm

(

const

char

*transa

const

MKL_INT

const

MKL_INT

const

double

*alpha

const

char

*matdescra

const

double

*val

const

MKL_INT

*rowind

const

MKL_INT

*colind

const

MKL_INT

*nnz

const

double

const

MKL_INT

*ldb

double

const

MKL_INT

*ldc

);

void

mkl_ccoosm

(

const

char

*transa

const

MKL_INT

const

MKL_INT

const

MKL_Complex8

*alpha

const

char

*matdescra

const

MKL_Complex8

*val

const

MKL_INT

*rowind

const

MKL_INT

*colind

const

MKL_INT

*nnz

const

MKL_Complex8

const

MKL_INT

*ldb

MKL_Complex8

const

MKL_INT

*ldc

);

void

mkl_zcoosm

(

const

char

*transa

const

MKL_INT

const

MKL_INT

const

MKL_Complex16

*alpha

const

char

*matdescra

const

MKL_Complex16

*val

const

MKL_INT

*rowind

const

MKL_INT

*colind

const

MKL_INT

*nnz

const

MKL_Complex16

const

MKL_INT

*ldb

MKL_Complex16

const

MKL_INT

*ldc

);

Include Files

mkl.h

Description

This routine is deprecated. Use mkl_sparse_?_trsmfrom the

Intel® oneAPI Math Kernel Library

Inspector-executor Sparse BLAS interface instead.

The

mkl_?coosm

routine solves a system of linear equations with matrix-matrix operations for a sparse matrix in the coordinate format:

C := alpha*inv(A)*B

C := alpha*inv(A^T)*B,

where:

alpha is scalar, B and C are dense matrices, A is a sparse upper or lower triangular matrix with unit or non-unit main diagonal, A^T is the transpose of A.

This routine supports a coordinate format both with one-based indexing and zero-based indexing.

Input Parameters

transa: Specifies the system of linear equations.
If
transa
= 'N'
or 'n', then the matrix-matrix product is computed as
C := alpha*inv(A)*B
If
transa
= 'T'
or 't' or 'C' or 'c', then the matrix-vector product is computed as
C := alpha*inv(A^T)*B
,
m: Number of rows of the matrix A.
n: Number of columns of the matrix C.
alpha: Specifies the scalar alpha.
matdescra: Array of six elements, specifies properties of the matrix used for operation. Only first four array elements are used, their possible values are given in
Table “Possible Values of the Parameter
matdescra
(
descra
)”
. Possible combinations of element values of this parameter are given in
Table “Possible Combinations of Element Values of the Parameter
matdescra
”
.
val: Array of length
nnz
, contains non-zero elements of the matrix A in the arbitrary order.
Refer to
values
array description in Coordinate Format for more details.
rowind: Array of length
nnz
.
For one-based indexing, contains the row indices plus one for each non-zero element of the matrix A.
For zero-based indexing, contains the row indices for each non-zero element of the matrix A.
Refer to
rows
array description in Coordinate Format for more details.
colind: Array of length
nnz
.
For one-based indexing, contains the column indices plus one for each non-zero element of the matrix A
For zero-based indexing, contains the row indices for each non-zero element of the matrix A
Refer to
columns
array description in Coordinate Format for more details.
nnz: Specifies the number of non-zero element of the matrix A.
Refer to
nnz
description in Coordinate Format for more details.
b: Array, size
ldb
by
n
for one-based indexing, and
(
m
,
ldb
)
for zero-based indexing.
Before entry the leading m-by-n part of the array b must contain the matrix B.
ldb: Specifies the leading dimension of
b
for one-based indexing, and the second dimension of
b
for zero-based indexing, as declared in the calling (sub)program.
ldc: Specifies the leading dimension of
c
for one-based indexing, and the second dimension of
c
for zero-based indexing, as declared in the calling (sub)program.

Output Parameters

c: Array, size
ldc
by
n
for one-based indexing, and
(
m
,
ldc
)
for zero-based indexing.
The leading
m
-by-
n
part of the array
c
contains the output matrix C.

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