NAG Library Function Document
nag_dppsv (f07gac)
1 Purpose
nag_dppsv (f07gac) computes the solution to a real system of linear equations
where
is an
by
symmetric positive definite matrix stored in packed format and
and
are
by
matrices.
2 Specification
#include <nag.h> |
#include <nagf07.h> |
void |
nag_dppsv (Nag_OrderType order,
Nag_UploType uplo,
Integer n,
Integer nrhs,
double ap[],
double b[],
Integer pdb,
NagError *fail) |
|
3 Description
nag_dppsv (f07gac) uses the Cholesky decomposition to factor as if or if , where is an upper triangular matrix and is a lower triangular matrix. The factored form of is then used to solve the system of equations .
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
5 Arguments
- 1:
– Nag_OrderTypeInput
-
On entry: the
order argument specifies the two-dimensional storage scheme being used, i.e., row-major ordering or column-major ordering. C language defined storage is specified by
. See
Section 2.3.1.3 in How to Use the NAG Library and its Documentation for a more detailed explanation of the use of this argument.
Constraint:
or .
- 2:
– Nag_UploTypeInput
-
On entry: if
, the upper triangle of
is stored.
If , the lower triangle of is stored.
Constraint:
or .
- 3:
– IntegerInput
-
On entry: , the number of linear equations, i.e., the order of the matrix .
Constraint:
.
- 4:
– IntegerInput
-
On entry: , the number of right-hand sides, i.e., the number of columns of the matrix .
Constraint:
.
- 5:
– doubleInput/Output
-
Note: the dimension,
dim, of the array
ap
must be at least
.
On entry: the
by
symmetric matrix
, packed by rows or columns.
The storage of elements
depends on the
order and
uplo arguments as follows:
- if and ,
is stored in , for ; - if and ,
is stored in , for ; - if and ,
is stored in , for ; - if and ,
is stored in , for .
On exit: if NE_NOERROR, the factor or from the Cholesky factorization or , in the same storage format as .
- 6:
– doubleInput/Output
-
Note: the dimension,
dim, of the array
b
must be at least
- when
;
- when
.
The
th element of the matrix
is stored in
- when ;
- when .
On entry: the by right-hand side matrix .
On exit: if NE_NOERROR, the by solution matrix .
- 7:
– IntegerInput
-
On entry: the stride separating row or column elements (depending on the value of
order) in the array
b.
Constraints:
- if ,
;
- if , .
- 8:
– NagError *Input/Output
-
The NAG error argument (see
Section 2.7 in How to Use the NAG Library and its Documentation).
6 Error Indicators and Warnings
- NE_ALLOC_FAIL
-
Dynamic memory allocation failed.
See
Section 2.3.1.2 in How to Use the NAG Library and its Documentation for further information.
- NE_BAD_PARAM
-
On entry, argument had an illegal value.
- NE_INT
-
On entry, .
Constraint: .
On entry, .
Constraint: .
On entry, .
Constraint: .
- NE_INT_2
-
On entry, and .
Constraint: .
On entry, and .
Constraint: .
- NE_INTERNAL_ERROR
-
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact
NAG for assistance.
An unexpected error has been triggered by this function. Please contact
NAG.
See
Section 2.7.6 in How to Use the NAG Library and its Documentation for further information.
- NE_MAT_NOT_POS_DEF
-
The leading minor of order of is not positive
definite, so the factorization could not be completed, and the solution has
not been computed.
- NE_NO_LICENCE
-
Your licence key may have expired or may not have been installed correctly.
See
Section 2.7.5 in How to Use the NAG Library and its Documentation for further information.
7 Accuracy
The computed solution for a single right-hand side,
, satisfies an equation of the form
where
and
is the
machine precision. An approximate error bound for the computed solution is given by
where
, the condition number of
with respect to the solution of the linear equations. See Section 4.4 of
Anderson et al. (1999) for further details.
nag_dppsvx (f07gbc) is a comprehensive LAPACK driver that returns forward and backward error bounds and an estimate of the condition number. Alternatively,
nag_real_sym_posdef_packed_lin_solve (f04bec) solves
and returns a forward error bound and condition estimate.
nag_real_sym_posdef_packed_lin_solve (f04bec) calls nag_dppsv (f07gac) to solve the equations.
8 Parallelism and Performance
nag_dppsv (f07gac) is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
nag_dppsv (f07gac) 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 function. Please also consult the
Users' Note for your implementation for any additional implementation-specific information.
The total number of floating-point operations is approximately , where is the number of right-hand sides.
The complex analogue of this function is
nag_zppsv (f07gnc).
10 Example
This example solves the equations
where
is the symmetric positive definite matrix
Details of the Cholesky factorization of are also output.
10.1 Program Text
Program Text (f07gace.c)
10.2 Program Data
Program Data (f07gace.d)
10.3 Program Results
Program Results (f07gace.r)