cpbrfs - improve the computed solution to a system of linear equations when the coefficient matrix is Hermitian positive definite and banded, and provides error bounds and backward error estimates for the solution
SUBROUTINE CPBRFS( UPLO, N, NDIAG, NRHS, A, LDA, AF, LDAF, B, LDB, * X, LDX, FERR, BERR, WORK, WORK2, INFO) CHARACTER * 1 UPLO COMPLEX A(LDA,*), AF(LDAF,*), B(LDB,*), X(LDX,*), WORK(*) INTEGER N, NDIAG, NRHS, LDA, LDAF, LDB, LDX, INFO REAL FERR(*), BERR(*), WORK2(*)
SUBROUTINE CPBRFS_64( UPLO, N, NDIAG, NRHS, A, LDA, AF, LDAF, B, * LDB, X, LDX, FERR, BERR, WORK, WORK2, INFO) CHARACTER * 1 UPLO COMPLEX A(LDA,*), AF(LDAF,*), B(LDB,*), X(LDX,*), WORK(*) INTEGER*8 N, NDIAG, NRHS, LDA, LDAF, LDB, LDX, INFO REAL FERR(*), BERR(*), WORK2(*)
SUBROUTINE PBRFS( UPLO, [N], NDIAG, [NRHS], A, [LDA], AF, [LDAF], B, * [LDB], X, [LDX], FERR, BERR, [WORK], [WORK2], [INFO]) CHARACTER(LEN=1) :: UPLO COMPLEX, DIMENSION(:) :: WORK COMPLEX, DIMENSION(:,:) :: A, AF, B, X INTEGER :: N, NDIAG, NRHS, LDA, LDAF, LDB, LDX, INFO REAL, DIMENSION(:) :: FERR, BERR, WORK2
SUBROUTINE PBRFS_64( UPLO, [N], NDIAG, [NRHS], A, [LDA], AF, [LDAF], * B, [LDB], X, [LDX], FERR, BERR, [WORK], [WORK2], [INFO]) CHARACTER(LEN=1) :: UPLO COMPLEX, DIMENSION(:) :: WORK COMPLEX, DIMENSION(:,:) :: A, AF, B, X INTEGER(8) :: N, NDIAG, NRHS, LDA, LDAF, LDB, LDX, INFO REAL, DIMENSION(:) :: FERR, BERR, WORK2
#include <sunperf.h>
void cpbrfs(char uplo, int n, int ndiag, int nrhs, complex *a, int lda, complex *af, int ldaf, complex *b, int ldb, complex *x, int ldx, float *ferr, float *berr, int *info);
void cpbrfs_64(char uplo, long n, long ndiag, long nrhs, complex *a, long lda, complex *af, long ldaf, complex *b, long ldb, complex *x, long ldx, float *ferr, float *berr, long *info);
cpbrfs improves the computed solution to a system of linear equations when the coefficient matrix is Hermitian positive definite and banded, and provides error bounds and backward error estimates for the solution.
= 'U': Upper triangle of A is stored;
= 'L': Lower triangle of A is stored.
A(kd+1+i-j,j)
= A(i,j)
for max(1,j-kd)
< =i < =j;
if UPLO = 'L', A(1+i-j,j)
= A(i,j)
for j < =i < =min(n,j+kd).
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.
X(j)
(i.e., the smallest relative change in
any element of A or B that makes X(j)
an exact solution).
dimension(2*N)
dimension(N)
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value