Developer Reference for Intel® oneAPI Math Kernel Library - C

Developer Reference

  • 0.9
  • 09/09/2020
  • Public Content
Contents

?gerfs

Refines the solution of a system of linear equations with a general coefficient matrix and estimates its error.

Syntax

lapack_int LAPACKE_sgerfs
(
int
matrix_layout
,
char
trans
,
lapack_int
n
,
lapack_int
nrhs
,
const float*
a
,
lapack_int
lda
,
const float*
af
,
lapack_int
ldaf
,
const lapack_int*
ipiv
,
const float*
b
,
lapack_int
ldb
,
float*
x
,
lapack_int
ldx
,
float*
ferr
,
float*
berr
);
lapack_int LAPACKE_dgerfs
(
int
matrix_layout
,
char
trans
,
lapack_int
n
,
lapack_int
nrhs
,
const double*
a
,
lapack_int
lda
,
const double*
af
,
lapack_int
ldaf
,
const lapack_int*
ipiv
,
const double*
b
,
lapack_int
ldb
,
double*
x
,
lapack_int
ldx
,
double*
ferr
,
double*
berr
);
lapack_int LAPACKE_cgerfs
(
int
matrix_layout
,
char
trans
,
lapack_int
n
,
lapack_int
nrhs
,
const lapack_complex_float*
a
,
lapack_int
lda
,
const lapack_complex_float*
af
,
lapack_int
ldaf
,
const lapack_int*
ipiv
,
const lapack_complex_float*
b
,
lapack_int
ldb
,
lapack_complex_float*
x
,
lapack_int
ldx
,
float*
ferr
,
float*
berr
);
lapack_int LAPACKE_zgerfs
(
int
matrix_layout
,
char
trans
,
lapack_int
n
,
lapack_int
nrhs
,
const lapack_complex_double*
a
,
lapack_int
lda
,
const lapack_complex_double*
af
,
lapack_int
ldaf
,
const lapack_int*
ipiv
,
const lapack_complex_double*
b
,
lapack_int
ldb
,
lapack_complex_double*
x
,
lapack_int
ldx
,
double*
ferr
,
double*
berr
);
Include Files
  • mkl.h
Description
The routine performs an iterative refinement of the solution to a system of linear equations
A*X
 =
B
 or
A
T
*X
 =
B
 or
A
H
*X
 =
B
 with a general matrix
A
, with multiple right-hand sides. For each computed solution vector
x
, the routine computes the component-wise backward error
β
. This error is the smallest relative perturbation in elements of
A
 and
b
 such that
x
 is the exact solution of the perturbed system:
|
δ
a
i
j
|
≤
β
|
a
i
j
|, |
δ
b
i
|
≤
β
|
b
i
|
 such that
(
A
 +
δ
A
)
x
 = (
b
 +
δ
b
)
.
Finally, the routine estimates the component-wise forward error in the computed solution
||x - x
e
||
∞
/||
x
||
∞
 (here
x
e
 is the exact solution).
Before calling this routine:
  • call the factorization routine
    ?getrf
  • call the solver routine
    ?getrs
    .
Input Parameters
matrix_layout
Specifies whether matrix storage layout is row major (
LAPACK_ROW_MAJOR
) or column major (
LAPACK_COL_MAJOR
).
trans
Must be
'N'
 or
'T'
 or
'C'
.
Indicates the form of the equations:
If
trans
 =
'N'
, the system has the form
A*X
 =
B
.
If
trans
 =
'T'
, the system has the form
A
T
*X
 =
B
.
If
trans
 =
'C'
, the system has the form
A
H
*X
 =
B
.
n
The order of the matrix
A
;
n
≥
 0.
nrhs
The number of right-hand sides;
nrhs
≥
 0.
a
,
af
,
b
,
x
Arrays:
a
(size max(1,
lda
*
n
))
 contains the original matrix
A
, as supplied to
?getrf
.
af
(size max(1,
ldaf
*
n
))
 contains the factored matrix
A
, as returned by
?getrf
.
b
of size max(1,
ldb
*
nrhs
) for column major layout and max(1,
ldb
*
n
) for row major layout
 contains the right-hand side matrix
B
.
x
of size max(1,
ldx
*
nrhs
) for column major layout and max(1,
ldx
*
n
) for row major layout
 contains the solution matrix
X
.
lda
The leading dimension of
a
;
lda
≥
 max(1,
n
)
.
ldaf
The leading dimension of
af
;
ldaf
≥
 max(1,
n
)
.
ldb
The leading dimension of
b
;
ldb
≥
 max(1,
n
) for column major layout and
ldb
≥
nrhs
 for row major layout
.
ldx
The leading dimension of
x
;
ldx
≥
 max(1,
n
) for column major layout and
ldx
≥
nrhs
 for row major layout
.
ipiv
Array, size at least
max(1,
n
)
.
The
ipiv
 array, as returned by
?getrf
.
Output Parameters
x
The refined solution matrix
X
.
ferr
,
berr
Arrays, size at least
max(1,
nrhs
)
. Contain the component-wise forward and backward errors, respectively, for each solution vector.
Return Values
This function returns a value
info
.
If
info
 = 0
, the execution is successful.
If
info
 =
-i
, parameter
i
 had an illegal value.
Application Notes
The bounds returned in
ferr
 are not rigorous, but in practice they almost always overestimate the actual error.
For each right-hand side, computation of the backward error involves a minimum of
4
n
2
 floating-point operations (for real flavors) or
16
n
2
 operations (for complex flavors). In addition, each step of iterative refinement involves
6
n
2
 operations (for real flavors) or
24
n
2
 operations (for complex flavors); the number of iterations may range from 1 to 5. Estimating the forward error involves solving a number of systems of linear equations
A
*
x
 =
b
 with the same coefficient matrix
A
 and different right hand sides
b
; the number is usually 4 or 5 and never more than 11. Each solution requires approximately
2
n
2
 floating-point operations for real flavors or
8
n
2
 for complex flavors.

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804