spbsvx(3)

NAME

SPBSVX - 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 SPBSVX( FACT, UPLO, N, KD, NRHS, AB, LDAB, AFB,
LDAFB,  EQUED, S, B, LDB, X, LDX, RCOND, FERR, BERR, WORK, IWORK,
INFO )
    CHARACTER      EQUED, FACT, UPLO
    INTEGER        INFO, KD, LDAB,  LDAFB,  LDB,  LDX,  N,
NRHS
    REAL           RCOND
    INTEGER        IWORK( * )
    REAL           AB( LDAB, * ), AFB( LDAFB, * ), B( LDB,
* ), BERR( * ), FERR( * ), S( * ), WORK( * ), X( LDX, * )

PURPOSE

SPBSVX 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
band 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 band matrix, and L is a
lower
triangular band 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,
AFB contains the factored form of A. If EQUED = 'Y', the matrix
A has been equilibrated with scaling factors given by S. AB and
AFB will not be modified. = 'N': The matrix A will be copied to
AFB and factored.
= 'E': The matrix A will be equilibrated if nec
essary, then copied to AFB 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.
KD (input) INTEGER
The number of superdiagonals of the matrix A if
UPLO = 'U', or the number of subdiagonals if UPLO = 'L'. KD >=
0.
NRHS (input) INTEGER
The number of right-hand sides, i.e., the number
of columns of the matrices B and X. NRHS >= 0.
AB (input/output) REAL array, dimension (LDAB,N)On entry, the upper or lower triangle of the sym
metric band matrix A, stored in the first KD+1 rows of the array,
except if FACT = 'F' and EQUED = 'Y', then A must contain the
equilibrated matrix diag(S)*A*diag(S). The j-th column of A is
stored in the j-th column of the array AB as follows: if UPLO =
'U', AB(KD+1+i-j,j) = A(i,j) for max(1,j-KD)<=i<=j; if UPLO =
'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(N,j+KD). See below
for further details.
On exit, if FACT = 'E' and EQUED = 'Y', A is over
written by diag(S)*A*diag(S).
LDAB (input) INTEGER
The leading dimension of the array A. LDAB >=
KD+1.
AFB (input or output) REAL array, dimension (LDAFB,N)
If FACT = 'F', then AFB 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 of the band matrix A, in
the same storage format as A (see AB). If EQUED = 'Y', then AFB
is the factored form of the equilibrated matrix A.
If FACT = 'N', then AFB 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.
If FACT = 'E', then AFB 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).
LDAFB (input) INTEGER
The leading dimension of the array AFB. LDAFB >=
KD+1.
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.

FURTHER DETAILS

The band storage scheme is illustrated by the following
example, when N = 6, KD = 2, and UPLO = 'U':
Two-dimensional storage of the symmetric matrix A:

a11 a12 a13
a22 a23 a24
a33 a34 a35
a44 a45 a46
a55 a56
(aij=conjg(aji)) a66
Band storage of the upper triangle of A:

* * a13 a24 a35 a46
* a12 a23 a34 a45 a56
a11 a22 a33 a44 a55 a66
Similarly, if UPLO = 'L' the format of A is as follows:

a11 a22 a33 a44 a55 a66
a21 a32 a43 a54 a65 *
a31 a42 a53 a64 * *
Array elements marked * are not used by the routine.
LAPACK version 3.0 15 June 2000
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