1SGBRFS(1)                LAPACK routine (version 3.1)                SGBRFS(1)
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NAME

6       SGBRFS - the computed solution to a system of linear equations when the
7       coefficient matrix is banded, and provides error  bounds  and  backward
8       error estimates for the solution
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SYNOPSIS

11       SUBROUTINE SGBRFS( TRANS,  N, KL, KU, NRHS, AB, LDAB, AFB, LDAFB, IPIV,
12                          B, LDB, X, LDX, FERR, BERR, WORK, IWORK, INFO )
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14           CHARACTER      TRANS
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16           INTEGER        INFO, KL, KU, LDAB, LDAFB, LDB, LDX, N, NRHS
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18           INTEGER        IPIV( * ), IWORK( * )
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20           REAL           AB( LDAB, * ), AFB( LDAFB, * ), B( LDB, * ), BERR( *
21                          ), FERR( * ), WORK( * ), X( LDX, * )
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PURPOSE

24       SGBRFS  improves  the computed solution to a system of linear equations
25       when the coefficient matrix is banded, and provides  error  bounds  and
26       backward error estimates for the solution.
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ARGUMENTS

30       TRANS   (input) CHARACTER*1
31               Specifies the form of the system of equations:
32               = 'N':  A * X = B     (No transpose)
33               = 'T':  A**T * X = B  (Transpose)
34               = 'C':  A**H * X = B  (Conjugate transpose = Transpose)
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36       N       (input) INTEGER
37               The order of the matrix A.  N >= 0.
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39       KL      (input) INTEGER
40               The number of subdiagonals within the band of A.  KL >= 0.
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42       KU      (input) INTEGER
43               The number of superdiagonals within the band of A.  KU >= 0.
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45       NRHS    (input) INTEGER
46               The  number of right hand sides, i.e., the number of columns of
47               the matrices B and X.  NRHS >= 0.
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49       AB      (input) REAL array, dimension (LDAB,N)
50               The original band matrix A, stored in rows 1 to  KL+KU+1.   The
51               j-th  column  of A is stored in the j-th column of the array AB
52               as   follows:   AB(ku+1+i-j,j)   =    A(i,j)    for    max(1,j-
53               ku)<=i<=min(n,j+kl).
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55       LDAB    (input) INTEGER
56               The leading dimension of the array AB.  LDAB >= KL+KU+1.
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58       AFB     (input) REAL array, dimension (LDAFB,N)
59               Details  of  the LU factorization of the band matrix A, as com‐
60               puted by SGBTRF.  U is  stored  as  an  upper  triangular  band
61               matrix  with KL+KU superdiagonals in rows 1 to KL+KU+1, and the
62               multipliers used during the factorization are  stored  in  rows
63               KL+KU+2 to 2*KL+KU+1.
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65       LDAFB   (input) INTEGER
66               The leading dimension of the array AFB.  LDAFB >= 2*KL*KU+1.
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68       IPIV    (input) INTEGER array, dimension (N)
69               The pivot indices from SGBTRF; for 1<=i<=N, row i of the matrix
70               was interchanged with row IPIV(i).
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72       B       (input) REAL array, dimension (LDB,NRHS)
73               The right hand side matrix B.
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75       LDB     (input) INTEGER
76               The leading dimension of the array B.  LDB >= max(1,N).
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78       X       (input/output) REAL array, dimension (LDX,NRHS)
79               On entry, the solution matrix X, as  computed  by  SGBTRS.   On
80               exit, the improved solution matrix X.
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82       LDX     (input) INTEGER
83               The leading dimension of the array X.  LDX >= max(1,N).
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85       FERR    (output) REAL array, dimension (NRHS)
86               The estimated forward error bound for each solution vector X(j)
87               (the j-th column of the solution matrix X).  If  XTRUE  is  the
88               true  solution  corresponding  to X(j), FERR(j) is an estimated
89               upper bound for the magnitude of the largest element in (X(j) -
90               XTRUE) divided by the magnitude of the largest element in X(j).
91               The estimate is as reliable as the estimate for RCOND,  and  is
92               almost always a slight overestimate of the true error.
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94       BERR    (output) REAL array, dimension (NRHS)
95               The componentwise relative backward error of each solution vec‐
96               tor X(j) (i.e., the smallest relative change in any element  of
97               A or B that makes X(j) an exact solution).
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99       WORK    (workspace) REAL array, dimension (3*N)
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101       IWORK   (workspace) INTEGER array, dimension (N)
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103       INFO    (output) INTEGER
104               = 0:  successful exit
105               < 0:  if INFO = -i, the i-th argument had an illegal value
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PARAMETERS

108       ITMAX is the maximum number of steps of iterative refinement.
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112 LAPACK routine (version 3.1)    November 2006                       SGBRFS(1)
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