NAG Library Routine Document
f04aef
(withdraw_real_square_solve_ref)
1
Purpose
f04aef calculates the accurate solution of a set of real linear equations with multiple right-hand sides using an factorization with partial pivoting, and iterative refinement.
2
Specification
Fortran Interface
Subroutine f04aef ( |
a,
lda,
b,
ldb,
n,
m,
c,
ldc,
wkspce,
aa,
ldaa,
bb,
ldbb,
ifail) |
Integer, Intent (In) | :: |
lda,
ldb,
n,
m,
ldc,
ldaa,
ldbb | Integer, Intent (Inout) | :: |
ifail | Real (Kind=nag_wp), Intent (In) | :: |
a(lda,*),
b(ldb,*) | Real (Kind=nag_wp), Intent (Inout) | :: |
c(ldc,*),
aa(ldaa,*),
bb(ldbb,*) | Real (Kind=nag_wp), Intent (Out) | :: |
wkspce(max(1,n)) |
|
C Header Interface
#include nagmk26.h
void |
f04aef_ (
const double a[],
const Integer *lda,
const double b[],
const Integer *ldb,
const Integer *n,
const Integer *m,
double c[],
const Integer *ldc,
double wkspce[],
double aa[],
const Integer *ldaa,
double bb[],
const Integer *ldbb,
Integer *ifail) |
|
3
Description
Given a set of real linear equations , the routine first computes an factorization of with partial pivoting, , where is a permutation matrix, is lower triangular and is unit upper triangular. An approximation to is found by forward and backward substitution. The residual matrix is then calculated using additional precision, and a correction to is found by solving . is replaced by and this iterative refinement of the solution is repeated until full machine accuracy has been obtained.
4
References
Wilkinson J H and Reinsch C (1971) Handbook for Automatic Computation II, Linear Algebra Springer–Verlag
5
Arguments
- 1: – Real (Kind=nag_wp) arrayInput
-
Note: the second dimension of the array
a
must be at least
.
On entry: the by matrix .
- 2: – IntegerInput
-
On entry: the first dimension of the array
a as declared in the (sub)program from which
f04aef is called.
Constraint:
.
- 3: – Real (Kind=nag_wp) arrayInput
-
Note: the second dimension of the array
b
must be at least
.
On entry: the by right-hand side matrix .
- 4: – IntegerInput
-
On entry: the first dimension of the array
b as declared in the (sub)program from which
f04aef is called.
Constraint:
.
- 5: – IntegerInput
-
On entry: , the order of the matrix .
Constraint:
.
- 6: – IntegerInput
-
On entry: , the number of right-hand sides.
Constraint:
.
- 7: – Real (Kind=nag_wp) arrayOutput
-
Note: the second dimension of the array
c
must be at least
.
On exit: the by solution matrix .
- 8: – IntegerInput
-
On entry: the first dimension of the array
c as declared in the (sub)program from which
f04aef is called.
Constraint:
.
- 9: – Real (Kind=nag_wp) arrayWorkspace
-
- 10: – Real (Kind=nag_wp) arrayOutput
-
Note: the second dimension of the array
aa
must be at least
.
On exit: the triangular factors and , except that the unit diagonal elements of are not stored.
- 11: – IntegerInput
-
On entry: the first dimension of the array
aa as declared in the (sub)program from which
f04aef is called.
Constraint:
.
- 12: – Real (Kind=nag_wp) arrayOutput
-
Note: the second dimension of the array
bb
must be at least
.
On exit: the final by residual matrix .
- 13: – IntegerInput
-
On entry: the first dimension of the array
bb as declared in the (sub)program from which
f04aef is called.
Constraint:
.
- 14: – IntegerInput/Output
-
On entry:
ifail must be set to
,
. If you are unfamiliar with this argument you should refer to
Section 3.4 in How to Use the NAG Library and its Documentation for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value
is recommended. If the output of error messages is undesirable, then the value
is recommended. Otherwise, if you are not familiar with this argument, the recommended value is
.
When the value is used it is essential to test the value of ifail on exit.
On exit:
unless the routine detects an error or a warning has been flagged (see
Section 6).
6
Error Indicators and Warnings
If on entry
or
, explanatory error messages are output on the current error message unit (as defined by
x04aaf).
Errors or warnings detected by the routine:
-
The matrix is singular, possibly due to rounding errors.
-
Iterative refinement fails to improve the solution, i.e., the matrix is too ill-conditioned.
-
On entry, | , |
or | , |
or | , |
or | , |
or | , |
or | , |
or | . |
An unexpected error has been triggered by this routine. Please
contact
NAG.
See
Section 3.9 in How to Use the NAG Library and its Documentation for further information.
Your licence key may have expired or may not have been installed correctly.
See
Section 3.8 in How to Use the NAG Library and its Documentation for further information.
Dynamic memory allocation failed.
See
Section 3.7 in How to Use the NAG Library and its Documentation for further information.
7
Accuracy
The computed solutions should be correct to full machine accuracy. For a detailed error analysis see page 107 of
Wilkinson and Reinsch (1971).
8
Parallelism and Performance
f04aef is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f04aef makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the
X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the
Users' Note for your implementation for any additional implementation-specific information.
The time taken by f04aef is approximately proportional to .
If there is only one right-hand side, it is simpler to use
f04atf.
10
Example
This example solves the set of linear equations
where
10.1
Program Text
Program Text (f04aefe.f90)
10.2
Program Data
Program Data (f04aefe.d)
10.3
Program Results
Program Results (f04aefe.r)