cpbsvx(3S)

CPBSVX - use the Cholesky factorization A = U**H*U or A = L*L**H to compute the solution to a complex system of linear equations A * X = B,

As shipped in IRIX 6.5.19. Added in IRIX 6.5.15.

NAME
     CPBSVX - use the Cholesky factorization A = U**H*U or A = L*L**H to
     compute the solution to a complex system of linear equations A * X = B,

SYNOPSIS
     SUBROUTINE CPBSVX( FACT, UPLO, N, KD, NRHS, AB, LDAB, AFB, LDAFB, EQUED,
                        S, B, LDB, X, LDX, RCOND, FERR, BERR, WORK, RWORK,
                        INFO )

         CHARACTER      EQUED, FACT, UPLO

         INTEGER        INFO, KD, LDAB, LDAFB, LDB, LDX, N, NRHS

         REAL           RCOND

         REAL           BERR( * ), FERR( * ), RWORK( * ), S( * )

         COMPLEX        AB( LDAB, * ), AFB( LDAFB, * ), B( LDB, * ), WORK( *
                        ), X( LDX, * )

IMPLEMENTATION
     These routines are part of the SCSL Scientific Library and can be loaded
     using either the -lscs or the -lscs_mp option.  The -lscs_mp option
     directs the linker to use the multi-processor version of the library.

     When linking to SCSL with -lscs or -lscs_mp, the default integer size is
     4 bytes (32 bits). Another version of SCSL is available in which integers
     are 8 bytes (64 bits).  This version allows the user access to larger
     memory sizes and helps when porting legacy Cray codes.  It can be loaded
     by using the -lscs_i8 option or the -lscs_i8_mp option. A program may use
     only one of the two versions; 4-byte integer and 8-byte integer library
     calls cannot be mixed.

PURPOSE
     CPBSVX uses the Cholesky factorization A = U**H*U or A = L*L**H to
     compute the solution to a complex system of linear equations A * X = B,
     where A is an N-by-N Hermitian 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**H * U,  if UPLO = 'U', or
           A = L * L**H,  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 factored 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 premultiplied 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 necessary, 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) COMPLEX array, dimension (LDAB,N)
             On entry, the upper or lower triangle of the Hermitian 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 overwritten by
             diag(S)*A*diag(S).

     LDAB    (input) INTEGER
             The leading dimension of the array A.  LDAB >= KD+1.

     AFB     (input or output) COMPLEX 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**H*U or A = L*L**H 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**H*U or A = L*L**H.

             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**H*U or A = L*L**H of the equilibrated matrix A (see the
             description of A for the form of the equilibrated matrix).

     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) COMPLEX 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) COMPLEX 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 matrix is singular
             to working precision.  This condition is indicated by a return
             code of INFO > 0.

     FERR    (output) REAL array, dimension (NRHS)
             The estimated forward error bound for each solution 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) COMPLEX array, dimension (2*N)

     RWORK   (workspace) REAL array, dimension (N)

     INFO    (output) INTEGER
             = 0: successful exit
             < 0: if INFO = -i, the i-th argument had an illegal 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.  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.

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 Hermitian 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.


SEE ALSO
     INTRO_LAPACK(3S), INTRO_SCSL(3S)

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