NAG Library Routine Document
f11xaf
(real_gen_matvec)
1
Purpose
f11xaf computes a matrix-vector or transposed matrix-vector product involving a real sparse nonsymmetric matrix stored in coordinate storage format.
2
Specification
Fortran Interface
Integer, Intent (In) | :: |
n,
nnz,
irow(nnz),
icol(nnz) | Integer, Intent (Inout) | :: |
ifail | Real (Kind=nag_wp), Intent (In) | :: |
a(nnz),
x(n) | Real (Kind=nag_wp), Intent (Out) | :: |
y(n) | Character (1), Intent (In) | :: |
trans,
check |
|
C Header Interface
#include nagmk26.h
void |
f11xaf_ (
const char *trans,
const Integer *n,
const Integer *nnz,
const double a[],
const Integer irow[],
const Integer icol[],
const char *check,
const double x[],
double y[],
Integer *ifail,
const Charlen length_trans,
const Charlen length_check) |
|
3
Description
f11xaf computes either the matrix-vector product
, or the transposed matrix-vector product
, according to the value of the argument
trans, where
is an
by
sparse nonsymmetric matrix, of arbitrary sparsity pattern. The matrix
is stored in coordinate storage (CS) format (see
Section 2.1.1 in the F11 Chapter Introduction). The array
a stores all nonzero elements of
, while arrays
irow and
icol store the corresponding row and column indices respectively.
It is envisaged that a common use of
f11xaf will be to compute the matrix-vector product required in the application of
f11bef to sparse linear systems. An illustration of this usage appears in
Section 10 in
f11ddf.
4
References
None.
5
Arguments
- 1: – Character(1)Input
-
On entry: specifies whether or not the matrix
is transposed.
- is computed.
- is computed.
Constraint:
or .
- 2: – IntegerInput
-
On entry: , the order of the matrix .
Constraint:
.
- 3: – IntegerInput
-
On entry: the number of nonzero elements in the matrix .
Constraint:
.
- 4: – Real (Kind=nag_wp) arrayInput
-
On entry: the nonzero elements in the matrix
, ordered by increasing row index, and by increasing column index within each row. Multiple entries for the same row and column indices are not permitted. The routine
f11zaf may be used to order the elements in this way.
- 5: – Integer arrayInput
- 6: – Integer arrayInput
-
On entry: the row and column indices of the nonzero elements supplied in array
a.
Constraints:
irow and
icol must satisfy the following constraints (which may be imposed by a call to
f11zaf):
- and , for ;
- or and , for .
- 7: – Character(1)Input
-
On entry: specifies whether or not the CS representation of the matrix
, values of
n,
nnz,
irow and
icol should be checked.
- Checks are carried on the values of n, nnz, irow and icol.
- None of these checks are carried out.
Constraint:
or .
- 8: – Real (Kind=nag_wp) arrayInput
-
On entry: the vector .
- 9: – Real (Kind=nag_wp) arrayOutput
-
On exit: the vector .
- 10: – 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:
-
On entry, | or , |
or | or . |
-
On entry, | , |
or | , |
or | . |
-
On entry, the arrays
irow and
icol fail to satisfy the following constraints:
- and , for ;
- , or and , for .
Therefore a nonzero element has been supplied which does not lie within the matrix
, is out of order, or has duplicate row and column indices. Call
f11zaf to reorder and sum or remove duplicates.
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 vector
satisfies the error bound:
- , if , or
- ,
if ,
where
is a modest linear function of
, and
is the
machine precision.
8
Parallelism and Performance
f11xaf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f11xaf 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 for a call to
f11xaf is proportional to
nnz.
It is expected that a common use of
f11xaf will be to compute the matrix-vector product required in the application of
f11bef to sparse linear systems. In this situation
f11xaf is likely to be called many times with the same matrix
. In the interests of both reliability and efficiency you are recommended to set
for the first of such calls, and to set
for all subsequent calls.
10
Example
This example reads in a sparse matrix and a vector . It then calls f11xaf to compute the matrix-vector product and the transposed matrix-vector product .
10.1
Program Text
Program Text (f11xafe.f90)
10.2
Program Data
Program Data (f11xafe.d)
10.3
Program Results
Program Results (f11xafe.r)