zgtsvx(3)

NAME

ZGTSVX - use the LU factorization to compute the solution
to a complex system of linear equations A * X = B, A**T * X = B,
or A**H * X = B,

SYNOPSIS

SUBROUTINE ZGTSVX( FACT, TRANS, N, NRHS, DL, D,  DU,  DLF,
DF,  DUF,  DU2,  IPIV,  B,  LDB, X, LDX, RCOND, FERR, BERR, WORK,
RWORK, INFO )
    CHARACTER      FACT, TRANS
    INTEGER        INFO, LDB, LDX, N, NRHS
    DOUBLE         PRECISION RCOND
    INTEGER        IPIV( * )
    DOUBLE         PRECISION BERR( * ), FERR( * ),  RWORK(
* )
    COMPLEX*16      B( LDB, * ), D( * ), DF( * ), DL( * ),
DLF( * ), DU( * ), DU2( * ), DUF( * ), WORK( * ), X( LDX, * )

PURPOSE

ZGTSVX uses the LU factorization to compute the solution
to a complex system of linear equations A * X = B, A**T * X = B,
or A**H * X = B, where A is a tridiagonal matrix of order N 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 = 'N', the LU decomposition is used to factor
the matrix A
as A = L * U, where L is a product of permutation and
unit lower
bidiagonal matrices and U is upper triangular with
nonzeros in
only the main diagonal and first two superdiagonals.
2. If some U(i,i)=0, so that U is exactly singular, 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.
3. The system of equations is solved for X using the fac
tored form
of A.
4. Iterative refinement is applied to improve the computed
solution
matrix and calculate error bounds and backward error
estimates
for it.

ARGUMENTS

FACT (input) CHARACTER*1
Specifies whether or not the factored form of A
has been supplied on entry. = 'F': DLF, DF, DUF, DU2, and IPIV
contain the factored form of A; DL, D, DU, DLF, DF, DUF, DU2 and
IPIV will not be modified. = 'N': The matrix will be copied to
DLF, DF, and DUF and factored.
TRANS (input) CHARACTER*1
Specifies the form of the system of equations:
= 'N': A * X = B (No transpose)
= 'T': A**T * X = B (Transpose)
= 'C': A**H * X = B (Conjugate transpose)
N (input) INTEGER
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 matrix B. NRHS >= 0.
DL (input) COMPLEX*16 array, dimension (N-1)
The (n-1) subdiagonal elements of A.
D (input) COMPLEX*16 array, dimension (N)
The n diagonal elements of A.
DU (input) COMPLEX*16 array, dimension (N-1)
The (n-1) superdiagonal elements of A.
DLF (input or output) COMPLEX*16 array, dimension
(N-1)
If FACT = 'F', then DLF is an input argument and
on entry contains the (n-1) multipliers that define the matrix L
from the LU factorization of A as computed by ZGTTRF.
If FACT = 'N', then DLF is an output argument and
on exit contains the (n-1) multipliers that define the matrix L
from the LU factorization of A.
DF (input or output) COMPLEX*16 array, dimension (N)
If FACT = 'F', then DF is an input argument and on
entry contains the n diagonal elements of the upper triangular
matrix U from the LU factorization of A.
If FACT = 'N', then DF is an output argument and
on exit contains the n diagonal elements of the upper triangular
matrix U from the LU factorization of A.
DUF (input or output) COMPLEX*16 array, dimension
(N-1)
If FACT = 'F', then DUF is an input argument and
on entry contains the (n-1) elements of the first superdiagonal
of U.
If FACT = 'N', then DUF is an output argument and
on exit contains the (n-1) elements of the first superdiagonal of
U.
DU2 (input or output) COMPLEX*16 array, dimension
(N-2)
If FACT = 'F', then DU2 is an input argument and
on entry contains the (n-2) elements of the second superdiagonal
of U.
If FACT = 'N', then DU2 is an output argument and
on exit contains the (n-2) elements of the second superdiagonal
of U.
IPIV (input or output) INTEGER array, dimension (N)
If FACT = 'F', then IPIV is an input argument and
on entry contains the pivot indices from the LU factorization of
A as computed by ZGTTRF.
If FACT = 'N', then IPIV is an output argument and
on exit contains the pivot indices from the LU factorization of
A; row i of the matrix was interchanged with row IPIV(i). IP
IV(i) will always be either i or i+1; IPIV(i) = i indicates a row
interchange was not required.
B (input) COMPLEX*16 array, dimension (LDB,NRHS)
The N-by-NRHS right hand side matrix B.
LDB (input) INTEGER
The leading dimension of the array B. LDB >=
max(1,N).
X (output) COMPLEX*16 array, dimension (LDX,NRHS)
If INFO = 0 or INFO = N+1, the N-by-NRHS solution
matrix X.
LDX (input) INTEGER
The leading dimension of the array X. LDX >=
max(1,N).
RCOND (output) DOUBLE PRECISION
The estimate of the reciprocal condition number of
the matrix A. If RCOND is less than the machine precision (in
particular, if RCOND = 0), the matrix is singular to working pre
cision. This condition is indicated by a return code of INFO >
0.
FERR (output) DOUBLE PRECISION 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) DOUBLE PRECISION 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) COMPLEX*16 array, dimension (2*N)
RWORK (workspace) DOUBLE PRECISION 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: U(i,i) is exactly zero. The factorization
has not been completed unless i = N, but the factor U is exactly
singular, so the solution and error bounds could not be 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. 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.
LAPACK version 3.0 15 June 2000
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