sposvx(3)

NAME

SPOSVX - use the Cholesky factorization A = U**T*U or A =
L*L**T to compute the solution to a real system of linear equa
tions A * X = B,

SYNOPSIS

SUBROUTINE SPOSVX( FACT, UPLO, N, NRHS, A, LDA, AF,  LDAF,
EQUED, S, B, LDB, X, LDX, RCOND, FERR, BERR, WORK, IWORK, INFO )
    CHARACTER      EQUED, FACT, UPLO
    INTEGER        INFO, LDA, LDAF, LDB, LDX, N, NRHS
    REAL           RCOND
    INTEGER        IWORK( * )
    REAL            A(  LDA, * ), AF( LDAF, * ), B( LDB, *
), BERR( * ), FERR( * ), S( * ), WORK( * ), X( LDX, * )

PURPOSE

SPOSVX uses the Cholesky factorization A = U**T*U or A =
L*L**T to compute the solution to a real system of linear equa
tions A * X = B, where A is an N-by-N symmetric positive definite
matrix and X and B are N-by-NRHS matrices.
Error bounds on the solution and a condition estimate are
also provided.

DESCRIPTION

The following steps are performed:

1. If FACT = 'E', real scaling factors are computed to
equilibrate
the system:
diag(S) * A * diag(S) * inv(diag(S)) * X = diag(S) *
B
Whether or not the system will be equilibrated depends
on the
scaling of the matrix A, but if equilibration is used,
A is
overwritten by diag(S)*A*diag(S) and B by diag(S)*B.
2. If FACT = 'N' or 'E', the Cholesky decomposition is
used to
factor the matrix A (after equilibration if FACT = 'E')
as
A = U**T* U, if UPLO = 'U', or
A = L * L**T, if UPLO = 'L',
where U is an upper triangular matrix and L is a lower
triangular
matrix.
3. If the leading i-by-i principal minor is not positive
definite,
then the routine returns with INFO = i. Otherwise, the
factored
form of A is used to estimate the condition number of
the matrix
A. If the reciprocal of the condition number is less
than machine
precision, INFO = N+1 is returned as a warning, but the
routine
still goes on to solve for X and compute error bounds
as
described below.
4. The system of equations is solved for X using the fac
tored form
of A.
5. Iterative refinement is applied to improve the computed
solution
matrix and calculate error bounds and backward error
estimates
for it.
6. If equilibration was used, the matrix X is premulti
plied by
diag(S) so that it solves the original system before
equilibration.

ARGUMENTS

FACT (input) CHARACTER*1
Specifies whether or not the factored form of the
matrix A is supplied on entry, and if not, whether the matrix A
should be equilibrated before it is factored. = 'F': On entry,
AF contains the factored form of A. If EQUED = 'Y', the matrix A
has been equilibrated with scaling factors given by S. A and AF
will not be modified. = 'N': The matrix A will be copied to AF
and factored.
= 'E': The matrix A will be equilibrated if nec
essary, then copied to AF and factored.
UPLO (input) CHARACTER*1
= 'U': Upper triangle of A is stored;
= 'L': Lower triangle of A is stored.
N (input) INTEGER
The number of linear equations, i.e., the order of
the matrix A. N >= 0.
NRHS (input) INTEGER
The number of right hand sides, i.e., the number
of columns of the matrices B and X. NRHS >= 0.
A (input/output) REAL array, dimension (LDA,N)
On entry, the symmetric matrix A, except if FACT =
'F' and EQUED = 'Y', then A must contain the equilibrated matrix
diag(S)*A*diag(S). If UPLO = 'U', the leading N-by-N upper tri
angular part of A contains the upper triangular part of the ma
trix A, and the strictly lower triangular part of A is not refer
enced. If UPLO = 'L', the leading N-by-N lower triangular part
of A contains the lower triangular part of the matrix A, and the
strictly upper triangular part of A is not referenced. A is not
modified if FACT = 'F' or 'N', or if FACT = 'E' and EQUED = 'N'
on exit.
On exit, if FACT = 'E' and EQUED = 'Y', A is over
written by diag(S)*A*diag(S).
LDA (input) INTEGER
The leading dimension of the array A. LDA >=
max(1,N).
AF (input or output) REAL array, dimension (LDAF,N)
If FACT = 'F', then AF is an input argument and on
entry contains the triangular factor U or L from the Cholesky
factorization A = U**T*U or A = L*L**T, in the same storage for
mat as A. If EQUED .ne. 'N', then AF is the factored form of the
equilibrated matrix diag(S)*A*diag(S).
If FACT = 'N', then AF is an output argument and
on exit returns the triangular factor U or L from the Cholesky
factorization A = U**T*U or A = L*L**T of the original matrix A.
If FACT = 'E', then AF is an output argument and
on exit returns the triangular factor U or L from the Cholesky
factorization A = U**T*U or A = L*L**T of the equilibrated matrix
A (see the description of A for the form of the equilibrated ma
trix).
LDAF (input) INTEGER
The leading dimension of the array AF. LDAF >=
max(1,N).
EQUED (input or output) CHARACTER*1
Specifies the form of equilibration that was done.
= 'N': No equilibration (always true if FACT = 'N').
= 'Y': Equilibration was done, i.e., A has been
replaced by diag(S) * A * diag(S). EQUED is an input argument if
FACT = 'F'; otherwise, it is an output argument.
S (input or output) REAL array, dimension (N)
The scale factors for A; not accessed if EQUED =
'N'. S is an input argument if FACT = 'F'; otherwise, S is an
output argument. If FACT = 'F' and EQUED = 'Y', each element of
S must be positive.
B (input/output) REAL array, dimension (LDB,NRHS)
On entry, the N-by-NRHS right hand side matrix B.
On exit, if EQUED = 'N', B is not modified; if EQUED = 'Y', B is
overwritten by diag(S) * B.
LDB (input) INTEGER
The leading dimension of the array B. LDB >=
max(1,N).
X (output) REAL array, dimension (LDX,NRHS)
If INFO = 0 or INFO = N+1, the N-by-NRHS solution
matrix X to the original system of equations. Note that if EQUED
= 'Y', A and B are modified on exit, and the solution to the
equilibrated system is inv(diag(S))*X.
LDX (input) INTEGER
The leading dimension of the array X. LDX >=
max(1,N).
RCOND (output) REAL
The estimate of the reciprocal condition number of
the matrix A after equilibration (if done). If RCOND is less
than the machine precision (in particular, if RCOND = 0), the ma
trix is singular to working precision. This condition is indi
cated by a return code of INFO > 0.
FERR (output) REAL array, dimension (NRHS)The estimated forward error bound for each solu
tion vector X(j) (the j-th column of the solution matrix X). If
XTRUE is the true solution corresponding to X(j), FERR(j) is an
estimated upper bound for the magnitude of the largest element in
(X(j) - XTRUE) divided by the magnitude of the largest element in
X(j). The estimate is as reliable as the estimate for RCOND, and
is almost always a slight overestimate of the true error.
BERR (output) REAL array, dimension (NRHS)
The componentwise relative backward error of each
solution vector X(j) (i.e., the smallest relative change in any
element of A or B that makes X(j) an exact solution).
WORK (workspace) REAL array, dimension (3*N)
IWORK (workspace) INTEGER array, dimension (N)
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an ille
gal value
> 0: if INFO = i, and i is
<= N: the leading minor of order i of A is not
positive definite, so the factorization could not be completed,
and the solution has not been computed. RCOND = 0 is returned. =
N+1: U is nonsingular, but RCOND is less than machine precision,
meaning that the matrix is singular to working precision. Never
theless, 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.
LAPACK version 3.0 15 June 2000
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