NAG Library Routine Document
F07FPF (ZPOSVX)
1 Purpose
F07FPF (ZPOSVX) uses the Cholesky factorization
to compute the solution to a complex system of linear equations
where
is an
by
Hermitian positive definite matrix and
and
are
by
matrices. Error bounds on the solution and a condition estimate are also provided.
2 Specification
SUBROUTINE F07FPF ( |
FACT, UPLO, N, NRHS, A, LDA, AF, LDAF, EQUED, S, B, LDB, X, LDX, RCOND, FERR, BERR, WORK, RWORK, INFO) |
INTEGER |
N, NRHS, LDA, LDAF, LDB, LDX, INFO |
REAL (KIND=nag_wp) |
S(*), RCOND, FERR(NRHS), BERR(NRHS), RWORK(N) |
COMPLEX (KIND=nag_wp) |
A(LDA,*), AF(LDAF,*), B(LDB,*), X(LDX,*), WORK(2*N) |
CHARACTER(1) |
FACT, UPLO, EQUED |
|
The routine may be called by its
LAPACK
name zposvx.
3 Description
F07FPF (ZPOSVX) performs the following steps:
- If , real diagonal scaling factors, , are computed to equilibrate the system:
Whether or not the system will be equilibrated depends on the scaling of the matrix , but if equilibration is used, is overwritten by and by .
- If or , the Cholesky decomposition is used to factor the matrix (after equilibration if ) as if or if , where is an upper triangular matrix and is a lower triangular matrix.
- If the leading by principal minor of is not positive definite, then the routine returns with . Otherwise, the factored form of is used to estimate the condition number of the matrix . If the reciprocal of the condition number is less than machine precision, is returned as a warning, but the routine still goes on to solve for and compute error bounds as described below.
- The system of equations is solved for using the factored form of .
- Iterative refinement is applied to improve the computed solution matrix and to calculate error bounds and backward error estimates for it.
- If equilibration was used, the matrix is premultiplied by so that it solves the original system before equilibration.
4 References
Anderson E, Bai Z, Bischof C, Blackford S, Demmel J, Dongarra J J, Du Croz J J, Greenbaum A, Hammarling S, McKenney A and Sorensen D (1999)
LAPACK Users' Guide (3rd Edition) SIAM, Philadelphia
http://www.netlib.org/lapack/lug
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore
Higham N J (2002) Accuracy and Stability of Numerical Algorithms (2nd Edition) SIAM, Philadelphia
5 Parameters
- 1: FACT – CHARACTER(1)Input
On entry: specifies whether or not the factorized form of the matrix
is supplied on entry, and if not, whether the matrix
should be equilibrated before it is factorized.
- AF contains the factorized form of . If , the matrix has been equilibrated with scaling factors given by S. A and AF will not be modified.
- The matrix will be copied to AF and factorized.
- The matrix will be equilibrated if necessary, then copied to AF and factorized.
Constraint:
, or .
- 2: UPLO – CHARACTER(1)Input
On entry: if
, the upper triangle of
is stored.
If , the lower triangle of is stored.
Constraint:
or .
- 3: N – INTEGERInput
On entry: , the number of linear equations, i.e., the order of the matrix .
Constraint:
.
- 4: NRHS – INTEGERInput
On entry: , the number of right-hand sides, i.e., the number of columns of the matrix .
Constraint:
.
- 5: A(LDA,) – COMPLEX (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
A
must be at least
.
On entry: the
by
Hermitian matrix
.
If
and
,
A must have been equilibrated by the scaling factor in
S as
.
- If , the upper triangular part of must be stored and the elements of the array below the diagonal are not referenced.
- If , the lower triangular part of must be stored and the elements of the array above the diagonal are not referenced.
On exit: if
or
, or if
and
,
A is not modified.
If
and
,
A is overwritten by
.
- 6: LDA – INTEGERInput
On entry: the first dimension of the array
A as declared in the (sub)program from which F07FPF (ZPOSVX) is called.
Constraint:
.
- 7: AF(LDAF,) – COMPLEX (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
AF
must be at least
.
On entry: if
,
AF contains the triangular factor
or
from the Cholesky factorization
or
, in the same storage format as
A. If
,
AF is the factorized form of the equilibrated matrix
.
On exit: if
,
AF returns the triangular factor
or
from the Cholesky factorization
or
of the original matrix
.
If
,
AF returns the triangular factor
or
from the Cholesky factorization
or
of the equilibrated matrix
(see the description of
A for the form of the equilibrated matrix).
- 8: LDAF – INTEGERInput
On entry: the first dimension of the array
AF as declared in the (sub)program from which F07FPF (ZPOSVX) is called.
Constraint:
.
- 9: EQUED – CHARACTER(1)Input/Output
On entry: if
or
,
EQUED need not be set.
If
,
EQUED must specify the form of the equilibration that was performed as follows:
- if , no equilibration;
- if , equilibration was performed, i.e., has been replaced by .
On exit: if
,
EQUED is unchanged from entry.
Otherwise, if no constraints are violated,
EQUED specifies the form of the equilibration that was performed as specified above.
Constraint:
if , or .
- 10: S() – REAL (KIND=nag_wp) arrayInput/Output
-
Note: the dimension of the array
S
must be at least
.
On entry: if
or
,
S need not be set.
If
and
,
S must contain the scale factors,
, for
; each element of
S must be positive.
On exit: if
,
S is unchanged from entry.
Otherwise, if no constraints are violated and
,
S contains the scale factors,
, for
; each element of
S is positive.
- 11: B(LDB,) – COMPLEX (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
B
must be at least
.
On entry: the by right-hand side matrix .
On exit: if
,
B is not modified.
If
,
B is overwritten by
.
- 12: LDB – INTEGERInput
On entry: the first dimension of the array
B as declared in the (sub)program from which F07FPF (ZPOSVX) is called.
Constraint:
.
- 13: X(LDX,) – COMPLEX (KIND=nag_wp) arrayOutput
-
Note: the second dimension of the array
X
must be at least
.
On exit: if or , the by solution matrix to the original system of equations. Note that the arrays and are modified on exit if , and the solution to the equilibrated system is .
- 14: LDX – INTEGERInput
On entry: the first dimension of the array
X as declared in the (sub)program from which F07FPF (ZPOSVX) is called.
Constraint:
.
- 15: RCOND – REAL (KIND=nag_wp)Output
On exit: if no constraints are violated, an estimate of the reciprocal condition number of the matrix (after equilibration if that is performed), computed as .
- 16: FERR(NRHS) – REAL (KIND=nag_wp) arrayOutput
On exit: if
or
, an estimate of the forward error bound for each computed solution vector, such that
where
is the
th column of the computed solution returned in the array
X and
is the corresponding column of the exact solution
. The estimate is as reliable as the estimate for
RCOND, and is almost always a slight overestimate of the true error.
- 17: BERR(NRHS) – REAL (KIND=nag_wp) arrayOutput
On exit: if or , an estimate of the component-wise relative backward error of each computed solution vector (i.e., the smallest relative change in any element of or that makes an exact solution).
- 18: WORK() – COMPLEX (KIND=nag_wp) arrayWorkspace
- 19: RWORK(N) – REAL (KIND=nag_wp) arrayWorkspace
- 20: INFO – INTEGEROutput
On exit:
unless the routine detects an error (see
Section 6).
6 Error Indicators and Warnings
Errors or warnings detected by the routine:
If , the th argument had an illegal value. An explanatory message is output, and execution of the program is terminated.
If and , the leading minor of order of is not positive definite, so the factorization could not be completed, and the solution has not been computed. is returned.
The triangular matrix
(or
) is nonsingular,
but
RCOND is less than
machine precision, meaning that the matrix is singular to working precision. Nevertheless, the solution and error bounds are computed because there are a number of situations where the computed solution can be more accurate than the value of
RCOND would suggest.
7 Accuracy
For each right-hand side vector
, the computed solution
is the exact solution of a perturbed system of equations
, where
- if , ;
- if , ,
is a modest linear function of
, and
is the
machine precision. See Section 10.1 of
Higham (2002) for further details.
If
is the true solution, then the computed solution
satisfies a forward error bound of the form
where
.
If
is the
th column of
, then
is returned in
and a bound on
is returned in
. See Section 4.4 of
Anderson et al. (1999) for further details.
The factorization of requires approximately floating point operations.
For each right-hand side, computation of the backward error involves a minimum of floating point operations. Each step of iterative refinement involves an additional operations. At most five steps of iterative refinement are performed, but usually only one or two steps are required. Estimating the forward error involves solving a number of systems of equations of the form ; the number is usually or and never more than . Each solution involves approximately operations.
The real analogue of this routine is
F07FBF (DPOSVX).
9 Example
This example solves the equations
where
is the Hermitian positive definite matrix
and
Error estimates for the solutions, information on equilibration and an estimate of the reciprocal of the condition number of the scaled matrix are also output.
9.1 Program Text
Program Text (f07fpfe.f90)
9.2 Program Data
Program Data (f07fpfe.d)
9.3 Program Results
Program Results (f07fpfe.r)