/* Subroutine */ int sgbsvxx_(char *fact, char *trans, integer *n, integer * kl, integer *ku, integer *nrhs, real *ab, integer *ldab, real *afb, integer *ldafb, integer *ipiv, char *equed, real *r__, real *c__, real *b, integer *ldb, real *x, integer *ldx, real *rcond, real * rpvgrw, real *berr, integer *n_err_bnds__, real *err_bnds_norm__, real *err_bnds_comp__, integer *nparams, real *params, real *work, integer *iwork, integer *info) { /* System generated locals */ integer ab_dim1, ab_offset, afb_dim1, afb_offset, b_dim1, b_offset, x_dim1, x_offset, err_bnds_norm_dim1, err_bnds_norm_offset, err_bnds_comp_dim1, err_bnds_comp_offset, i__1, i__2; real r__1, r__2; /* Local variables */ integer i__, j; real amax; extern doublereal sla_gbrpvgrw__(integer *, integer *, integer *, integer *, real *, integer *, real *, integer *); extern logical lsame_(char *, char *); real rcmin, rcmax; logical equil; real colcnd; extern doublereal slamch_(char *); extern /* Subroutine */ int slaqgb_(integer *, integer *, integer *, integer *, real *, integer *, real *, real *, real *, real *, real *, char *); logical nofact; extern /* Subroutine */ int xerbla_(char *, integer *); real bignum; integer infequ; logical colequ; extern /* Subroutine */ int sgbtrf_(integer *, integer *, integer *, integer *, real *, integer *, integer *, integer *), slacpy_(char *, integer *, integer *, real *, integer *, real *, integer *); real rowcnd; logical notran; extern /* Subroutine */ int sgbtrs_(char *, integer *, integer *, integer *, integer *, real *, integer *, integer *, real *, integer *, integer *); real smlnum; logical rowequ; extern /* Subroutine */ int slascl2_(integer *, integer *, real *, real *, integer *), sgbequb_(integer *, integer *, integer *, integer *, real *, integer *, real *, real *, real *, real *, real *, integer *), sgbrfsx_(char *, char *, integer *, integer *, integer *, integer *, real *, integer *, real *, integer *, integer *, real *, real *, real *, integer *, real *, integer *, real *, real *, integer *, real *, real *, integer *, real *, real *, integer *, integer *); /* -- LAPACK driver routine (version 3.2) -- */ /* -- Contributed by James Demmel, Deaglan Halligan, Yozo Hida and -- */ /* -- Jason Riedy of Univ. of California Berkeley. -- */ /* -- November 2008 -- */ /* -- LAPACK is a software package provided by Univ. of Tennessee, -- */ /* -- Univ. of California Berkeley and NAG Ltd. -- */ /* .. */ /* .. Scalar Arguments .. */ /* .. */ /* .. Array Arguments .. */ /* .. */ /* Purpose */ /* ======= */ /* SGBSVXX uses the LU factorization to compute the solution to a */ /* real system of linear equations A * X = B, where A is an */ /* N-by-N matrix and X and B are N-by-NRHS matrices. */ /* If requested, both normwise and maximum componentwise error bounds */ /* are returned. SGBSVXX will return a solution with a tiny */ /* guaranteed error (O(eps) where eps is the working machine */ /* precision) unless the matrix is very ill-conditioned, in which */ /* case a warning is returned. Relevant condition numbers also are */ /* calculated and returned. */ /* SGBSVXX accepts user-provided factorizations and equilibration */ /* factors; see the definitions of the FACT and EQUED options. */ /* Solving with refinement and using a factorization from a previous */ /* SGBSVXX call will also produce a solution with either O(eps) */ /* errors or warnings, but we cannot make that claim for general */ /* user-provided factorizations and equilibration factors if they */ /* differ from what SGBSVXX would itself produce. */ /* Description */ /* =========== */ /* The following steps are performed: */ /* 1. If FACT = 'E', real scaling factors are computed to equilibrate */ /* the system: */ /* TRANS = 'N': diag(R)*A*diag(C) *inv(diag(C))*X = diag(R)*B */ /* TRANS = 'T': (diag(R)*A*diag(C))**T *inv(diag(R))*X = diag(C)*B */ /* TRANS = 'C': (diag(R)*A*diag(C))**H *inv(diag(R))*X = diag(C)*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(R)*A*diag(C) and B by diag(R)*B (if TRANS='N') */ /* or diag(C)*B (if TRANS = 'T' or 'C'). */ /* 2. If FACT = 'N' or 'E', the LU decomposition is used to factor */ /* the matrix A (after equilibration if FACT = 'E') as */ /* A = P * L * U, */ /* where P is a permutation matrix, L is a unit lower triangular */ /* matrix, and U is upper triangular. */ /* 3. 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 (see */ /* argument RCOND). If the reciprocal of the condition number is less */ /* than machine precision, 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. By default (unless PARAMS(LA_LINRX_ITREF_I) is set to zero), */ /* the routine will use iterative refinement to try to get a small */ /* error and error bounds. Refinement calculates the residual to at */ /* least twice the working precision. */ /* 6. If equilibration was used, the matrix X is premultiplied by */ /* diag(C) (if TRANS = 'N') or diag(R) (if TRANS = 'T' or 'C') so */ /* that it solves the original system before equilibration. */ /* Arguments */ /* ========= */ /* Some optional parameters are bundled in the PARAMS array. These */ /* settings determine how refinement is performed, but often the */ /* defaults are acceptable. If the defaults are acceptable, users */ /* can pass NPARAMS = 0 which prevents the source code from accessing */ /* the PARAMS argument. */ /* 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, AF and IPIV contain the factored form of A. */ /* If EQUED is not 'N', the matrix A has been */ /* equilibrated with scaling factors given by R and C. */ /* A, AF, and IPIV are not modified. */ /* = 'N': The matrix A will be copied to AF and factored. */ /* = 'E': The matrix A will be equilibrated if necessary, then */ /* copied to AF 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 = Transpose) */ /* N (input) INTEGER */ /* The number of linear equations, i.e., the order of the */ /* matrix A. N >= 0. */ /* KL (input) INTEGER */ /* The number of subdiagonals within the band of A. KL >= 0. */ /* KU (input) INTEGER */ /* The number of superdiagonals within the band of A. KU >= 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 matrix A in band storage, in rows 1 to KL+KU+1. */ /* The j-th column of A is stored in the j-th column of the */ /* array AB as follows: */ /* AB(KU+1+i-j,j) = A(i,j) for max(1,j-KU)<=i<=min(N,j+kl) */ /* If FACT = 'F' and EQUED is not 'N', then AB must have been */ /* equilibrated by the scaling factors in R and/or C. AB is not */ /* modified if FACT = 'F' or 'N', or if FACT = 'E' and */ /* EQUED = 'N' on exit. */ /* On exit, if EQUED .ne. 'N', A is scaled as follows: */ /* EQUED = 'R': A := diag(R) * A */ /* EQUED = 'C': A := A * diag(C) */ /* EQUED = 'B': A := diag(R) * A * diag(C). */ /* LDAB (input) INTEGER */ /* The leading dimension of the array AB. LDAB >= KL+KU+1. */ /* AFB (input or output) REAL array, dimension (LDAFB,N) */ /* If FACT = 'F', then AFB is an input argument and on entry */ /* contains details of the LU factorization of the band matrix */ /* A, as computed by SGBTRF. U is stored as an upper triangular */ /* band matrix with KL+KU superdiagonals in rows 1 to KL+KU+1, */ /* and the multipliers used during the factorization are stored */ /* in rows KL+KU+2 to 2*KL+KU+1. If EQUED .ne. 'N', then AFB is */ /* the factored form of the equilibrated matrix A. */ /* If FACT = 'N', then AF is an output argument and on exit */ /* returns the factors L and U from the factorization A = P*L*U */ /* of the original matrix A. */ /* If FACT = 'E', then AF is an output argument and on exit */ /* returns the factors L and U from the factorization A = P*L*U */ /* 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 >= 2*KL+KU+1. */ /* 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 factorization A = P*L*U */ /* as computed by SGETRF; row i of the matrix was interchanged */ /* with row IPIV(i). */ /* If FACT = 'N', then IPIV is an output argument and on exit */ /* contains the pivot indices from the factorization A = P*L*U */ /* of the original matrix A. */ /* If FACT = 'E', then IPIV is an output argument and on exit */ /* contains the pivot indices from the factorization A = P*L*U */ /* of the equilibrated matrix A. */ /* EQUED (input or output) CHARACTER*1 */ /* Specifies the form of equilibration that was done. */ /* = 'N': No equilibration (always true if FACT = 'N'). */ /* = 'R': Row equilibration, i.e., A has been premultiplied by */ /* diag(R). */ /* = 'C': Column equilibration, i.e., A has been postmultiplied */ /* by diag(C). */ /* = 'B': Both row and column equilibration, i.e., A has been */ /* replaced by diag(R) * A * diag(C). */ /* EQUED is an input argument if FACT = 'F'; otherwise, it is an */ /* output argument. */ /* R (input or output) REAL array, dimension (N) */ /* The row scale factors for A. If EQUED = 'R' or 'B', A is */ /* multiplied on the left by diag(R); if EQUED = 'N' or 'C', R */ /* is not accessed. R is an input argument if FACT = 'F'; */ /* otherwise, R is an output argument. If FACT = 'F' and */ /* EQUED = 'R' or 'B', each element of R must be positive. */ /* If R is output, each element of R is a power of the radix. */ /* If R is input, each element of R should be a power of the radix */ /* to ensure a reliable solution and error estimates. Scaling by */ /* powers of the radix does not cause rounding errors unless the */ /* result underflows or overflows. Rounding errors during scaling */ /* lead to refining with a matrix that is not equivalent to the */ /* input matrix, producing error estimates that may not be */ /* reliable. */ /* C (input or output) REAL array, dimension (N) */ /* The column scale factors for A. If EQUED = 'C' or 'B', A is */ /* multiplied on the right by diag(C); if EQUED = 'N' or 'R', C */ /* is not accessed. C is an input argument if FACT = 'F'; */ /* otherwise, C is an output argument. If FACT = 'F' and */ /* EQUED = 'C' or 'B', each element of C must be positive. */ /* If C is output, each element of C is a power of the radix. */ /* If C is input, each element of C should be a power of the radix */ /* to ensure a reliable solution and error estimates. Scaling by */ /* powers of the radix does not cause rounding errors unless the */ /* result underflows or overflows. Rounding errors during scaling */ /* lead to refining with a matrix that is not equivalent to the */ /* input matrix, producing error estimates that may not be */ /* reliable. */ /* 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 TRANS = 'N' and EQUED = 'R' or 'B', B is overwritten by */ /* diag(R)*B; */ /* if TRANS = 'T' or 'C' and EQUED = 'C' or 'B', B is */ /* overwritten by diag(C)*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, the N-by-NRHS solution matrix X to the original */ /* system of equations. Note that A and B are modified on exit */ /* if EQUED .ne. 'N', and the solution to the equilibrated system is */ /* inv(diag(C))*X if TRANS = 'N' and EQUED = 'C' or 'B', or */ /* inv(diag(R))*X if TRANS = 'T' or 'C' and EQUED = 'R' or 'B'. */ /* LDX (input) INTEGER */ /* The leading dimension of the array X. LDX >= max(1,N). */ /* RCOND (output) REAL */ /* Reciprocal scaled condition number. This is an estimate of the */ /* reciprocal Skeel condition number of the matrix A after */ /* equilibration (if done). If this is less than the machine */ /* precision (in particular, if it is zero), the matrix is singular */ /* to working precision. Note that the error may still be small even */ /* if this number is very small and the matrix appears ill- */ /* conditioned. */ /* RPVGRW (output) REAL */ /* Reciprocal pivot growth. On exit, this contains the reciprocal */ /* pivot growth factor norm(A)/norm(U). The "max absolute element" */ /* norm is used. If this is much less than 1, then the stability of */ /* the LU factorization of the (equilibrated) matrix A could be poor. */ /* This also means that the solution X, estimated condition numbers, */ /* and error bounds could be unreliable. If factorization fails with */ /* 0<INFO<=N, then this contains the reciprocal pivot growth factor */ /* for the leading INFO columns of A. In SGESVX, this quantity is */ /* returned in WORK(1). */ /* BERR (output) REAL array, dimension (NRHS) */ /* Componentwise relative backward error. This is 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). */ /* N_ERR_BNDS (input) INTEGER */ /* Number of error bounds to return for each right hand side */ /* and each type (normwise or componentwise). See ERR_BNDS_NORM and */ /* ERR_BNDS_COMP below. */ /* ERR_BNDS_NORM (output) REAL array, dimension (NRHS, N_ERR_BNDS) */ /* For each right-hand side, this array contains information about */ /* various error bounds and condition numbers corresponding to the */ /* normwise relative error, which is defined as follows: */ /* Normwise relative error in the ith solution vector: */ /* max_j (abs(XTRUE(j,i) - X(j,i))) */ /* ------------------------------ */ /* max_j abs(X(j,i)) */ /* The array is indexed by the type of error information as described */ /* below. There currently are up to three pieces of information */ /* returned. */ /* The first index in ERR_BNDS_NORM(i,:) corresponds to the ith */ /* right-hand side. */ /* The second index in ERR_BNDS_NORM(:,err) contains the following */ /* three fields: */ /* err = 1 "Trust/don't trust" boolean. Trust the answer if the */ /* reciprocal condition number is less than the threshold */ /* sqrt(n) * slamch('Epsilon'). */ /* err = 2 "Guaranteed" error bound: The estimated forward error, */ /* almost certainly within a factor of 10 of the true error */ /* so long as the next entry is greater than the threshold */ /* sqrt(n) * slamch('Epsilon'). This error bound should only */ /* be trusted if the previous boolean is true. */ /* err = 3 Reciprocal condition number: Estimated normwise */ /* reciprocal condition number. Compared with the threshold */ /* sqrt(n) * slamch('Epsilon') to determine if the error */ /* estimate is "guaranteed". These reciprocal condition */ /* numbers are 1 / (norm(Z^{-1},inf) * norm(Z,inf)) for some */ /* appropriately scaled matrix Z. */ /* Let Z = S*A, where S scales each row by a power of the */ /* radix so all absolute row sums of Z are approximately 1. */ /* See Lapack Working Note 165 for further details and extra */ /* cautions. */ /* ERR_BNDS_COMP (output) REAL array, dimension (NRHS, N_ERR_BNDS) */ /* For each right-hand side, this array contains information about */ /* various error bounds and condition numbers corresponding to the */ /* componentwise relative error, which is defined as follows: */ /* Componentwise relative error in the ith solution vector: */ /* abs(XTRUE(j,i) - X(j,i)) */ /* max_j ---------------------- */ /* abs(X(j,i)) */ /* The array is indexed by the right-hand side i (on which the */ /* componentwise relative error depends), and the type of error */ /* information as described below. There currently are up to three */ /* pieces of information returned for each right-hand side. If */ /* componentwise accuracy is not requested (PARAMS(3) = 0.0), then */ /* ERR_BNDS_COMP is not accessed. If N_ERR_BNDS .LT. 3, then at most */ /* the first (:,N_ERR_BNDS) entries are returned. */ /* The first index in ERR_BNDS_COMP(i,:) corresponds to the ith */ /* right-hand side. */ /* The second index in ERR_BNDS_COMP(:,err) contains the following */ /* three fields: */ /* err = 1 "Trust/don't trust" boolean. Trust the answer if the */ /* reciprocal condition number is less than the threshold */ /* sqrt(n) * slamch('Epsilon'). */ /* err = 2 "Guaranteed" error bound: The estimated forward error, */ /* almost certainly within a factor of 10 of the true error */ /* so long as the next entry is greater than the threshold */ /* sqrt(n) * slamch('Epsilon'). This error bound should only */ /* be trusted if the previous boolean is true. */ /* err = 3 Reciprocal condition number: Estimated componentwise */ /* reciprocal condition number. Compared with the threshold */ /* sqrt(n) * slamch('Epsilon') to determine if the error */ /* estimate is "guaranteed". These reciprocal condition */ /* numbers are 1 / (norm(Z^{-1},inf) * norm(Z,inf)) for some */ /* appropriately scaled matrix Z. */ /* Let Z = S*(A*diag(x)), where x is the solution for the */ /* current right-hand side and S scales each row of */ /* A*diag(x) by a power of the radix so all absolute row */ /* sums of Z are approximately 1. */ /* See Lapack Working Note 165 for further details and extra */ /* cautions. */ /* NPARAMS (input) INTEGER */ /* Specifies the number of parameters set in PARAMS. If .LE. 0, the */ /* PARAMS array is never referenced and default values are used. */ /* PARAMS (input / output) REAL array, dimension NPARAMS */ /* Specifies algorithm parameters. If an entry is .LT. 0.0, then */ /* that entry will be filled with default value used for that */ /* parameter. Only positions up to NPARAMS are accessed; defaults */ /* are used for higher-numbered parameters. */ /* PARAMS(LA_LINRX_ITREF_I = 1) : Whether to perform iterative */ /* refinement or not. */ /* Default: 1.0 */ /* = 0.0 : No refinement is performed, and no error bounds are */ /* computed. */ /* = 1.0 : Use the double-precision refinement algorithm, */ /* possibly with doubled-single computations if the */ /* compilation environment does not support DOUBLE */ /* PRECISION. */ /* (other values are reserved for future use) */ /* PARAMS(LA_LINRX_ITHRESH_I = 2) : Maximum number of residual */ /* computations allowed for refinement. */ /* Default: 10 */ /* Aggressive: Set to 100 to permit convergence using approximate */ /* factorizations or factorizations other than LU. If */ /* the factorization uses a technique other than */ /* Gaussian elimination, the guarantees in */ /* err_bnds_norm and err_bnds_comp may no longer be */ /* trustworthy. */ /* PARAMS(LA_LINRX_CWISE_I = 3) : Flag determining if the code */ /* will attempt to find a solution with small componentwise */ /* relative error in the double-precision algorithm. Positive */ /* is true, 0.0 is false. */ /* Default: 1.0 (attempt componentwise convergence) */ /* WORK (workspace) REAL array, dimension (4*N) */ /* IWORK (workspace) INTEGER array, dimension (N) */ /* INFO (output) INTEGER */ /* = 0: Successful exit. The solution to every right-hand side is */ /* guaranteed. */ /* < 0: If INFO = -i, the i-th argument had an illegal value */ /* > 0 and <= N: U(INFO,INFO) is exactly zero. The factorization */ /* has been completed, but the factor U is exactly singular, so */ /* the solution and error bounds could not be computed. RCOND = 0 */ /* is returned. */ /* = N+J: The solution corresponding to the Jth right-hand side is */ /* not guaranteed. The solutions corresponding to other right- */ /* hand sides K with K > J may not be guaranteed as well, but */ /* only the first such right-hand side is reported. If a small */ /* componentwise error is not requested (PARAMS(3) = 0.0) then */ /* the Jth right-hand side is the first with a normwise error */ /* bound that is not guaranteed (the smallest J such */ /* that ERR_BNDS_NORM(J,1) = 0.0). By default (PARAMS(3) = 1.0) */ /* the Jth right-hand side is the first with either a normwise or */ /* componentwise error bound that is not guaranteed (the smallest */ /* J such that either ERR_BNDS_NORM(J,1) = 0.0 or */ /* ERR_BNDS_COMP(J,1) = 0.0). See the definition of */ /* ERR_BNDS_NORM(:,1) and ERR_BNDS_COMP(:,1). To get information */ /* about all of the right-hand sides check ERR_BNDS_NORM or */ /* ERR_BNDS_COMP. */ /* ================================================================== */ /* .. Parameters .. */ /* .. */ /* .. Local Scalars .. */ /* .. */ /* .. External Functions .. */ /* .. */ /* .. External Subroutines .. */ /* .. */ /* .. Intrinsic Functions .. */ /* .. */ /* .. Executable Statements .. */ /* Parameter adjustments */ err_bnds_comp_dim1 = *nrhs; err_bnds_comp_offset = 1 + err_bnds_comp_dim1; err_bnds_comp__ -= err_bnds_comp_offset; err_bnds_norm_dim1 = *nrhs; err_bnds_norm_offset = 1 + err_bnds_norm_dim1; err_bnds_norm__ -= err_bnds_norm_offset; ab_dim1 = *ldab; ab_offset = 1 + ab_dim1; ab -= ab_offset; afb_dim1 = *ldafb; afb_offset = 1 + afb_dim1; afb -= afb_offset; --ipiv; --r__; --c__; b_dim1 = *ldb; b_offset = 1 + b_dim1; b -= b_offset; x_dim1 = *ldx; x_offset = 1 + x_dim1; x -= x_offset; --berr; --params; --work; --iwork; /* Function Body */ *info = 0; nofact = lsame_(fact, "N"); equil = lsame_(fact, "E"); notran = lsame_(trans, "N"); smlnum = slamch_("Safe minimum"); bignum = 1.f / smlnum; if (nofact || equil) { *(unsigned char *)equed = 'N'; rowequ = FALSE_; colequ = FALSE_; } else { rowequ = lsame_(equed, "R") || lsame_(equed, "B"); colequ = lsame_(equed, "C") || lsame_(equed, "B"); } /* Default is failure. If an input parameter is wrong or */ /* factorization fails, make everything look horrible. Only the */ /* pivot growth is set here, the rest is initialized in SGBRFSX. */ *rpvgrw = 0.f; /* Test the input parameters. PARAMS is not tested until SGBRFSX. */ if (! nofact && ! equil && ! lsame_(fact, "F")) { *info = -1; } else if (! notran && ! lsame_(trans, "T") && ! lsame_(trans, "C")) { *info = -2; } else if (*n < 0) { *info = -3; } else if (*kl < 0) { *info = -4; } else if (*ku < 0) { *info = -5; } else if (*nrhs < 0) { *info = -6; } else if (*ldab < *kl + *ku + 1) { *info = -8; } else if (*ldafb < (*kl << 1) + *ku + 1) { *info = -10; } else if (lsame_(fact, "F") && ! (rowequ || colequ || lsame_(equed, "N"))) { *info = -12; } else { if (rowequ) { rcmin = bignum; rcmax = 0.f; i__1 = *n; for (j = 1; j <= i__1; ++j) { /* Computing MIN */ r__1 = rcmin, r__2 = r__[j]; rcmin = dmin(r__1,r__2); /* Computing MAX */ r__1 = rcmax, r__2 = r__[j]; rcmax = dmax(r__1,r__2); /* L10: */ } if (rcmin <= 0.f) { *info = -13; } else if (*n > 0) { rowcnd = dmax(rcmin,smlnum) / dmin(rcmax,bignum); } else { rowcnd = 1.f; } } if (colequ && *info == 0) { rcmin = bignum; rcmax = 0.f; i__1 = *n; for (j = 1; j <= i__1; ++j) { /* Computing MIN */ r__1 = rcmin, r__2 = c__[j]; rcmin = dmin(r__1,r__2); /* Computing MAX */ r__1 = rcmax, r__2 = c__[j]; rcmax = dmax(r__1,r__2); /* L20: */ } if (rcmin <= 0.f) { *info = -14; } else if (*n > 0) { colcnd = dmax(rcmin,smlnum) / dmin(rcmax,bignum); } else { colcnd = 1.f; } } if (*info == 0) { if (*ldb < max(1,*n)) { *info = -15; } else if (*ldx < max(1,*n)) { *info = -16; } } } if (*info != 0) { i__1 = -(*info); xerbla_("SGBSVXX", &i__1); return 0; } if (equil) { /* Compute row and column scalings to equilibrate the matrix A. */ sgbequb_(n, n, kl, ku, &ab[ab_offset], ldab, &r__[1], &c__[1], & rowcnd, &colcnd, &amax, &infequ); if (infequ == 0) { /* Equilibrate the matrix. */ slaqgb_(n, n, kl, ku, &ab[ab_offset], ldab, &r__[1], &c__[1], & rowcnd, &colcnd, &amax, equed); rowequ = lsame_(equed, "R") || lsame_(equed, "B"); colequ = lsame_(equed, "C") || lsame_(equed, "B"); } /* If the scaling factors are not applied, set them to 1.0. */ if (! rowequ) { i__1 = *n; for (j = 1; j <= i__1; ++j) { r__[j] = 1.f; } } if (! colequ) { i__1 = *n; for (j = 1; j <= i__1; ++j) { c__[j] = 1.f; } } } /* Scale the right hand side. */ if (notran) { if (rowequ) { slascl2_(n, nrhs, &r__[1], &b[b_offset], ldb); } } else { if (colequ) { slascl2_(n, nrhs, &c__[1], &b[b_offset], ldb); } } if (nofact || equil) { /* Compute the LU factorization of A. */ i__1 = *n; for (j = 1; j <= i__1; ++j) { i__2 = (*kl << 1) + *ku + 1; for (i__ = *kl + 1; i__ <= i__2; ++i__) { afb[i__ + j * afb_dim1] = ab[i__ - *kl + j * ab_dim1]; /* L30: */ } /* L40: */ } sgbtrf_(n, n, kl, ku, &afb[afb_offset], ldafb, &ipiv[1], info); /* Return if INFO is non-zero. */ if (*info > 0) { /* Pivot in column INFO is exactly 0 */ /* Compute the reciprocal pivot growth factor of the */ /* leading rank-deficient INFO columns of A. */ *rpvgrw = sla_gbrpvgrw__(n, kl, ku, info, &ab[ab_offset], ldab, & afb[afb_offset], ldafb); return 0; } } /* Compute the reciprocal pivot growth factor RPVGRW. */ *rpvgrw = sla_gbrpvgrw__(n, kl, ku, n, &ab[ab_offset], ldab, &afb[ afb_offset], ldafb); /* Compute the solution matrix X. */ slacpy_("Full", n, nrhs, &b[b_offset], ldb, &x[x_offset], ldx); sgbtrs_(trans, n, kl, ku, nrhs, &afb[afb_offset], ldafb, &ipiv[1], &x[ x_offset], ldx, info); /* Use iterative refinement to improve the computed solution and */ /* compute error bounds and backward error estimates for it. */ sgbrfsx_(trans, equed, n, kl, ku, nrhs, &ab[ab_offset], ldab, &afb[ afb_offset], ldafb, &ipiv[1], &r__[1], &c__[1], &b[b_offset], ldb, &x[x_offset], ldx, rcond, &berr[1], n_err_bnds__, & err_bnds_norm__[err_bnds_norm_offset], &err_bnds_comp__[ err_bnds_comp_offset], nparams, ¶ms[1], &work[1], &iwork[1], info); /* Scale solutions. */ if (colequ && notran) { slascl2_(n, nrhs, &c__[1], &x[x_offset], ldx); } else if (rowequ && ! notran) { slascl2_(n, nrhs, &r__[1], &x[x_offset], ldx); } return 0; /* End of SGBSVXX */ } /* sgbsvxx_ */
/* Subroutine */ int sgbsvx_(char *fact, char *trans, integer *n, integer *kl, integer *ku, integer *nrhs, real *ab, integer *ldab, real *afb, integer *ldafb, integer *ipiv, char *equed, real *r__, real *c__, real *b, integer *ldb, real *x, integer *ldx, real *rcond, real *ferr, real *berr, real *work, integer *iwork, integer *info) { /* System generated locals */ integer ab_dim1, ab_offset, afb_dim1, afb_offset, b_dim1, b_offset, x_dim1, x_offset, i__1, i__2, i__3, i__4, i__5; real r__1, r__2, r__3; /* Local variables */ integer i__, j, j1, j2; real amax; char norm[1]; real rcmin, rcmax, anorm; logical equil; real colcnd; logical nofact; real bignum; integer infequ; logical colequ; real rowcnd; logical notran; real smlnum; logical rowequ; real rpvgrw; /* -- LAPACK driver routine (version 3.2) -- */ /* November 2006 */ /* Purpose */ /* ======= */ /* SGBSVX uses the LU factorization to compute the solution to a real */ /* system of linear equations A * X = B, A**T * X = B, or A**H * X = B, */ /* where A is a band matrix of order N with KL subdiagonals and KU */ /* superdiagonals, 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 by this subroutine: */ /* 1. If FACT = 'E', real scaling factors are computed to equilibrate */ /* the system: */ /* TRANS = 'N': diag(R)*A*diag(C) *inv(diag(C))*X = diag(R)*B */ /* TRANS = 'T': (diag(R)*A*diag(C))**T *inv(diag(R))*X = diag(C)*B */ /* TRANS = 'C': (diag(R)*A*diag(C))**H *inv(diag(R))*X = diag(C)*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(R)*A*diag(C) and B by diag(R)*B (if TRANS='N') */ /* or diag(C)*B (if TRANS = 'T' or 'C'). */ /* 2. If FACT = 'N' or 'E', the LU decomposition is used to factor the */ /* matrix A (after equilibration if FACT = 'E') as */ /* A = L * U, */ /* where L is a product of permutation and unit lower triangular */ /* matrices with KL subdiagonals, and U is upper triangular with */ /* KL+KU superdiagonals. */ /* 3. 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. */ /* 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(C) (if TRANS = 'N') or diag(R) (if TRANS = 'T' or 'C') 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 and IPIV contain the factored form of */ /* A. If EQUED is not 'N', the matrix A has been */ /* equilibrated with scaling factors given by R and C. */ /* AB, AFB, and IPIV are not 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. */ /* 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 (Transpose) */ /* N (input) INTEGER */ /* The number of linear equations, i.e., the order of the */ /* matrix A. N >= 0. */ /* KL (input) INTEGER */ /* The number of subdiagonals within the band of A. KL >= 0. */ /* KU (input) INTEGER */ /* The number of superdiagonals within the band of A. KU >= 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 matrix A in band storage, in rows 1 to KL+KU+1. */ /* The j-th column of A is stored in the j-th column of the */ /* array AB as follows: */ /* AB(KU+1+i-j,j) = A(i,j) for max(1,j-KU)<=i<=min(N,j+kl) */ /* If FACT = 'F' and EQUED is not 'N', then A must have been */ /* equilibrated by the scaling factors in R and/or C. AB is not */ /* modified if FACT = 'F' or 'N', or if FACT = 'E' and */ /* EQUED = 'N' on exit. */ /* On exit, if EQUED .ne. 'N', A is scaled as follows: */ /* EQUED = 'R': A := diag(R) * A */ /* EQUED = 'C': A := A * diag(C) */ /* EQUED = 'B': A := diag(R) * A * diag(C). */ /* LDAB (input) INTEGER */ /* The leading dimension of the array AB. LDAB >= KL+KU+1. */ /* AFB (input or output) REAL array, dimension (LDAFB,N) */ /* If FACT = 'F', then AFB is an input argument and on entry */ /* contains details of the LU factorization of the band matrix */ /* A, as computed by SGBTRF. U is stored as an upper triangular */ /* band matrix with KL+KU superdiagonals in rows 1 to KL+KU+1, */ /* and the multipliers used during the factorization are stored */ /* in rows KL+KU+2 to 2*KL+KU+1. If EQUED .ne. 'N', then AFB is */ /* the factored form of the equilibrated matrix A. */ /* If FACT = 'N', then AFB is an output argument and on exit */ /* returns details of the LU factorization of A. */ /* If FACT = 'E', then AFB is an output argument and on exit */ /* returns details of the LU factorization of the equilibrated */ /* matrix A (see the description of AB for the form of the */ /* equilibrated matrix). */ /* LDAFB (input) INTEGER */ /* The leading dimension of the array AFB. LDAFB >= 2*KL+KU+1. */ /* 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 factorization A = L*U */ /* as computed by SGBTRF; row i of the matrix was interchanged */ /* with row IPIV(i). */ /* If FACT = 'N', then IPIV is an output argument and on exit */ /* contains the pivot indices from the factorization A = L*U */ /* of the original matrix A. */ /* If FACT = 'E', then IPIV is an output argument and on exit */ /* contains the pivot indices from the factorization A = L*U */ /* of the equilibrated matrix A. */ /* EQUED (input or output) CHARACTER*1 */ /* Specifies the form of equilibration that was done. */ /* = 'N': No equilibration (always true if FACT = 'N'). */ /* = 'R': Row equilibration, i.e., A has been premultiplied by */ /* diag(R). */ /* = 'C': Column equilibration, i.e., A has been postmultiplied */ /* by diag(C). */ /* = 'B': Both row and column equilibration, i.e., A has been */ /* replaced by diag(R) * A * diag(C). */ /* EQUED is an input argument if FACT = 'F'; otherwise, it is an */ /* output argument. */ /* R (input or output) REAL array, dimension (N) */ /* The row scale factors for A. If EQUED = 'R' or 'B', A is */ /* multiplied on the left by diag(R); if EQUED = 'N' or 'C', R */ /* is not accessed. R is an input argument if FACT = 'F'; */ /* otherwise, R is an output argument. If FACT = 'F' and */ /* EQUED = 'R' or 'B', each element of R must be positive. */ /* C (input or output) REAL array, dimension (N) */ /* The column scale factors for A. If EQUED = 'C' or 'B', A is */ /* multiplied on the right by diag(C); if EQUED = 'N' or 'R', C */ /* is not accessed. C is an input argument if FACT = 'F'; */ /* otherwise, C is an output argument. If FACT = 'F' and */ /* EQUED = 'C' or 'B', each element of C must be positive. */ /* B (input/output) REAL array, dimension (LDB,NRHS) */ /* On entry, the right hand side matrix B. */ /* On exit, */ /* if EQUED = 'N', B is not modified; */ /* if TRANS = 'N' and EQUED = 'R' or 'B', B is overwritten by */ /* diag(R)*B; */ /* if TRANS = 'T' or 'C' and EQUED = 'C' or 'B', B is */ /* overwritten by diag(C)*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 A and B are */ /* modified on exit if EQUED .ne. 'N', and the solution to the */ /* equilibrated system is inv(diag(C))*X if TRANS = 'N' and */ /* EQUED = 'C' or 'B', or inv(diag(R))*X if TRANS = 'T' or 'C' */ /* and EQUED = 'R' or 'B'. */ /* 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/output) REAL array, dimension (3*N) */ /* On exit, WORK(1) contains the reciprocal pivot growth */ /* factor norm(A)/norm(U). The "max absolute element" norm is */ /* used. If WORK(1) is much less than 1, then the stability */ /* of the LU factorization of the (equilibrated) matrix A */ /* could be poor. This also means that the solution X, condition */ /* estimator RCOND, and forward error bound FERR could be */ /* unreliable. If factorization fails with 0<INFO<=N, then */ /* WORK(1) contains the reciprocal pivot growth factor for the */ /* leading INFO columns of A. */ /* IWORK (workspace) INTEGER 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: U(i,i) is exactly zero. The factorization */ /* has been completed, 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. */ /* ===================================================================== */ /* Moved setting of INFO = N+1 so INFO does not subsequently get */ /* overwritten. Sven, 17 Mar 05. */ /* ===================================================================== */ /* Parameter adjustments */ ab_dim1 = *ldab; ab_offset = 1 + ab_dim1; ab -= ab_offset; afb_dim1 = *ldafb; afb_offset = 1 + afb_dim1; afb -= afb_offset; --ipiv; --r__; --c__; b_dim1 = *ldb; b_offset = 1 + b_dim1; b -= b_offset; x_dim1 = *ldx; x_offset = 1 + x_dim1; x -= x_offset; --ferr; --berr; --work; --iwork; /* Function Body */ *info = 0; nofact = lsame_(fact, "N"); equil = lsame_(fact, "E"); notran = lsame_(trans, "N"); if (nofact || equil) { *(unsigned char *)equed = 'N'; rowequ = FALSE_; colequ = FALSE_; } else { rowequ = lsame_(equed, "R") || lsame_(equed, "B"); colequ = lsame_(equed, "C") || lsame_(equed, "B"); smlnum = slamch_("Safe minimum"); bignum = 1.f / smlnum; } /* Test the input parameters. */ if (! nofact && ! equil && ! lsame_(fact, "F")) { *info = -1; } else if (! notran && ! lsame_(trans, "T") && ! lsame_(trans, "C")) { *info = -2; } else if (*n < 0) { *info = -3; } else if (*kl < 0) { *info = -4; } else if (*ku < 0) { *info = -5; } else if (*nrhs < 0) { *info = -6; } else if (*ldab < *kl + *ku + 1) { *info = -8; } else if (*ldafb < (*kl << 1) + *ku + 1) { *info = -10; } else if (lsame_(fact, "F") && ! (rowequ || colequ || lsame_(equed, "N"))) { *info = -12; } else { if (rowequ) { rcmin = bignum; rcmax = 0.f; i__1 = *n; for (j = 1; j <= i__1; ++j) { /* Computing MIN */ r__1 = rcmin, r__2 = r__[j]; rcmin = dmin(r__1,r__2); /* Computing MAX */ r__1 = rcmax, r__2 = r__[j]; rcmax = dmax(r__1,r__2); } if (rcmin <= 0.f) { *info = -13; } else if (*n > 0) { rowcnd = dmax(rcmin,smlnum) / dmin(rcmax,bignum); } else { rowcnd = 1.f; } } if (colequ && *info == 0) { rcmin = bignum; rcmax = 0.f; i__1 = *n; for (j = 1; j <= i__1; ++j) { /* Computing MIN */ r__1 = rcmin, r__2 = c__[j]; rcmin = dmin(r__1,r__2); /* Computing MAX */ r__1 = rcmax, r__2 = c__[j]; rcmax = dmax(r__1,r__2); } if (rcmin <= 0.f) { *info = -14; } else if (*n > 0) { colcnd = dmax(rcmin,smlnum) / dmin(rcmax,bignum); } else { colcnd = 1.f; } } if (*info == 0) { if (*ldb < max(1,*n)) { *info = -16; } else if (*ldx < max(1,*n)) { *info = -18; } } } if (*info != 0) { i__1 = -(*info); xerbla_("SGBSVX", &i__1); return 0; } if (equil) { /* Compute row and column scalings to equilibrate the matrix A. */ sgbequ_(n, n, kl, ku, &ab[ab_offset], ldab, &r__[1], &c__[1], &rowcnd, &colcnd, &amax, &infequ); if (infequ == 0) { /* Equilibrate the matrix. */ slaqgb_(n, n, kl, ku, &ab[ab_offset], ldab, &r__[1], &c__[1], & rowcnd, &colcnd, &amax, equed); rowequ = lsame_(equed, "R") || lsame_(equed, "B"); colequ = lsame_(equed, "C") || lsame_(equed, "B"); } } /* Scale the right hand side. */ if (notran) { if (rowequ) { i__1 = *nrhs; for (j = 1; j <= i__1; ++j) { i__2 = *n; for (i__ = 1; i__ <= i__2; ++i__) { b[i__ + j * b_dim1] = r__[i__] * b[i__ + j * b_dim1]; } } } } else if (colequ) { i__1 = *nrhs; for (j = 1; j <= i__1; ++j) { i__2 = *n; for (i__ = 1; i__ <= i__2; ++i__) { b[i__ + j * b_dim1] = c__[i__] * b[i__ + j * b_dim1]; } } } if (nofact || equil) { /* Compute the LU factorization of the band matrix A. */ i__1 = *n; for (j = 1; j <= i__1; ++j) { /* Computing MAX */ i__2 = j - *ku; j1 = max(i__2,1); /* Computing MIN */ i__2 = j + *kl; j2 = min(i__2,*n); i__2 = j2 - j1 + 1; scopy_(&i__2, &ab[*ku + 1 - j + j1 + j * ab_dim1], &c__1, &afb[* kl + *ku + 1 - j + j1 + j * afb_dim1], &c__1); } sgbtrf_(n, n, kl, ku, &afb[afb_offset], ldafb, &ipiv[1], info); /* Return if INFO is non-zero. */ if (*info > 0) { /* Compute the reciprocal pivot growth factor of the */ /* leading rank-deficient INFO columns of A. */ anorm = 0.f; i__1 = *info; for (j = 1; j <= i__1; ++j) { /* Computing MAX */ i__2 = *ku + 2 - j; /* Computing MIN */ i__4 = *n + *ku + 1 - j, i__5 = *kl + *ku + 1; i__3 = min(i__4,i__5); for (i__ = max(i__2,1); i__ <= i__3; ++i__) { /* Computing MAX */ r__2 = anorm, r__3 = (r__1 = ab[i__ + j * ab_dim1], dabs( r__1)); anorm = dmax(r__2,r__3); } } /* Computing MIN */ i__3 = *info - 1, i__2 = *kl + *ku; i__1 = min(i__3,i__2); /* Computing MAX */ i__4 = 1, i__5 = *kl + *ku + 2 - *info; rpvgrw = slantb_("M", "U", "N", info, &i__1, &afb[max(i__4, i__5) + afb_dim1], ldafb, &work[1]); if (rpvgrw == 0.f) { rpvgrw = 1.f; } else { rpvgrw = anorm / rpvgrw; } work[1] = rpvgrw; *rcond = 0.f; return 0; } } /* Compute the norm of the matrix A and the */ /* reciprocal pivot growth factor RPVGRW. */ if (notran) { *(unsigned char *)norm = '1'; } else { *(unsigned char *)norm = 'I'; } anorm = slangb_(norm, n, kl, ku, &ab[ab_offset], ldab, &work[1]); i__1 = *kl + *ku; rpvgrw = slantb_("M", "U", "N", n, &i__1, &afb[afb_offset], ldafb, &work[ 1]); if (rpvgrw == 0.f) { rpvgrw = 1.f; } else { rpvgrw = slangb_("M", n, kl, ku, &ab[ab_offset], ldab, &work[1]) / rpvgrw; } /* Compute the reciprocal of the condition number of A. */ sgbcon_(norm, n, kl, ku, &afb[afb_offset], ldafb, &ipiv[1], &anorm, rcond, &work[1], &iwork[1], info); /* Compute the solution matrix X. */ slacpy_("Full", n, nrhs, &b[b_offset], ldb, &x[x_offset], ldx); sgbtrs_(trans, n, kl, ku, nrhs, &afb[afb_offset], ldafb, &ipiv[1], &x[ x_offset], ldx, info); /* Use iterative refinement to improve the computed solution and */ /* compute error bounds and backward error estimates for it. */ sgbrfs_(trans, n, kl, ku, nrhs, &ab[ab_offset], ldab, &afb[afb_offset], ldafb, &ipiv[1], &b[b_offset], ldb, &x[x_offset], ldx, &ferr[1], & berr[1], &work[1], &iwork[1], info); /* Transform the solution matrix X to a solution of the original */ /* system. */ if (notran) { if (colequ) { i__1 = *nrhs; for (j = 1; j <= i__1; ++j) { i__3 = *n; for (i__ = 1; i__ <= i__3; ++i__) { x[i__ + j * x_dim1] = c__[i__] * x[i__ + j * x_dim1]; } } i__1 = *nrhs; for (j = 1; j <= i__1; ++j) { ferr[j] /= colcnd; } } } else if (rowequ) { i__1 = *nrhs; for (j = 1; j <= i__1; ++j) { i__3 = *n; for (i__ = 1; i__ <= i__3; ++i__) { x[i__ + j * x_dim1] = r__[i__] * x[i__ + j * x_dim1]; } } i__1 = *nrhs; for (j = 1; j <= i__1; ++j) { ferr[j] /= rowcnd; } } /* Set INFO = N+1 if the matrix is singular to working precision. */ if (*rcond < slamch_("Epsilon")) { *info = *n + 1; } work[1] = rpvgrw; return 0; /* End of SGBSVX */ } /* sgbsvx_ */
/* Subroutine */ int sdrvgb_(logical *dotype, integer *nn, integer *nval, integer *nrhs, real *thresh, logical *tsterr, real *a, integer *la, real *afb, integer *lafb, real *asav, real *b, real *bsav, real *x, real *xact, real *s, real *work, real *rwork, integer *iwork, integer *nout) { /* Initialized data */ static integer iseedy[4] = { 1988,1989,1990,1991 }; static char transs[1*3] = "N" "T" "C"; static char facts[1*3] = "F" "N" "E"; static char equeds[1*4] = "N" "R" "C" "B"; /* Format strings */ static char fmt_9999[] = "(\002 *** In SDRVGB, LA=\002,i5,\002 is too sm" "all for N=\002,i5,\002, KU=\002,i5,\002, KL=\002,i5,/\002 ==> In" "crease LA to at least \002,i5)"; static char fmt_9998[] = "(\002 *** In SDRVGB, LAFB=\002,i5,\002 is too " "small for N=\002,i5,\002, KU=\002,i5,\002, KL=\002,i5,/\002 ==> " "Increase LAFB to at least \002,i5)"; static char fmt_9997[] = "(1x,a,\002, N=\002,i5,\002, KL=\002,i5,\002, K" "U=\002,i5,\002, type \002,i1,\002, test(\002,i1,\002)=\002,g12.5)" ; static char fmt_9995[] = "(1x,a,\002( '\002,a1,\002','\002,a1,\002',\002" ",i5,\002,\002,i5,\002,\002,i5,\002,...), EQUED='\002,a1,\002', t" "ype \002,i1,\002, test(\002,i1,\002)=\002,g12.5)"; static char fmt_9996[] = "(1x,a,\002( '\002,a1,\002','\002,a1,\002',\002" ",i5,\002,\002,i5,\002,\002,i5,\002,...), type \002,i1,\002, test(" "\002,i1,\002)=\002,g12.5)"; /* System generated locals */ address a__1[2]; integer i__1, i__2, i__3, i__4, i__5, i__6, i__7, i__8, i__9, i__10, i__11[2]; real r__1, r__2, r__3; char ch__1[2]; /* Local variables */ integer i__, j, k, n, i1, i2, k1, nb, in, kl, ku, nt, lda, ldb, ikl, nkl, iku, nku; char fact[1]; integer ioff, mode; real amax; char path[3]; integer imat, info; char dist[1], type__[1]; integer nrun, ldafb, ifact, nfail, iseed[4], nfact; char equed[1]; integer nbmin; real rcond, roldc; integer nimat; real roldi; real anorm; integer itran; logical equil; real roldo; char trans[1]; integer izero, nerrs; logical zerot; char xtype[1]; logical prefac; real colcnd; real rcondc; logical nofact; integer iequed; real rcondi; real cndnum, anormi, rcondo, ainvnm; logical trfcon; real anormo, rowcnd; real anrmpv; real result[7], rpvgrw; /* Fortran I/O blocks */ static cilist io___26 = { 0, 0, 0, fmt_9999, 0 }; static cilist io___27 = { 0, 0, 0, fmt_9998, 0 }; static cilist io___65 = { 0, 0, 0, fmt_9997, 0 }; static cilist io___72 = { 0, 0, 0, fmt_9995, 0 }; static cilist io___73 = { 0, 0, 0, fmt_9996, 0 }; static cilist io___74 = { 0, 0, 0, fmt_9995, 0 }; static cilist io___75 = { 0, 0, 0, fmt_9996, 0 }; static cilist io___76 = { 0, 0, 0, fmt_9995, 0 }; static cilist io___77 = { 0, 0, 0, fmt_9996, 0 }; static cilist io___78 = { 0, 0, 0, fmt_9995, 0 }; static cilist io___79 = { 0, 0, 0, fmt_9996, 0 }; /* -- LAPACK test routine (version 3.1) -- */ /* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */ /* November 2006 */ /* .. Scalar Arguments .. */ /* .. */ /* .. Array Arguments .. */ /* .. */ /* Purpose */ /* ======= */ /* SDRVGB tests the driver routines SGBSV and -SVX. */ /* Arguments */ /* ========= */ /* DOTYPE (input) LOGICAL array, dimension (NTYPES) */ /* The matrix types to be used for testing. Matrices of type j */ /* (for 1 <= j <= NTYPES) are used for testing if DOTYPE(j) = */ /* .TRUE.; if DOTYPE(j) = .FALSE., then type j is not used. */ /* NN (input) INTEGER */ /* The number of values of N contained in the vector NVAL. */ /* NVAL (input) INTEGER array, dimension (NN) */ /* The values of the matrix column dimension N. */ /* NRHS (input) INTEGER */ /* The number of right hand side vectors to be generated for */ /* each linear system. */ /* THRESH (input) REAL */ /* The threshold value for the test ratios. A result is */ /* included in the output file if RESULT >= THRESH. To have */ /* every test ratio printed, use THRESH = 0. */ /* TSTERR (input) LOGICAL */ /* Flag that indicates whether error exits are to be tested. */ /* A (workspace) REAL array, dimension (LA) */ /* LA (input) INTEGER */ /* The length of the array A. LA >= (2*NMAX-1)*NMAX */ /* where NMAX is the largest entry in NVAL. */ /* AFB (workspace) REAL array, dimension (LAFB) */ /* LAFB (input) INTEGER */ /* The length of the array AFB. LAFB >= (3*NMAX-2)*NMAX */ /* where NMAX is the largest entry in NVAL. */ /* ASAV (workspace) REAL array, dimension (LA) */ /* B (workspace) REAL array, dimension (NMAX*NRHS) */ /* BSAV (workspace) REAL array, dimension (NMAX*NRHS) */ /* X (workspace) REAL array, dimension (NMAX*NRHS) */ /* XACT (workspace) REAL array, dimension (NMAX*NRHS) */ /* S (workspace) REAL array, dimension (2*NMAX) */ /* WORK (workspace) REAL array, dimension */ /* (NMAX*max(3,NRHS,NMAX)) */ /* RWORK (workspace) REAL array, dimension */ /* (max(NMAX,2*NRHS)) */ /* IWORK (workspace) INTEGER array, dimension (2*NMAX) */ /* NOUT (input) INTEGER */ /* The unit number for output. */ /* ===================================================================== */ /* .. Parameters .. */ /* .. */ /* .. Local Scalars .. */ /* .. */ /* .. Local Arrays .. */ /* .. */ /* .. External Functions .. */ /* .. */ /* .. External Subroutines .. */ /* .. */ /* .. Intrinsic Functions .. */ /* .. */ /* .. Scalars in Common .. */ /* .. */ /* .. Common blocks .. */ /* .. */ /* .. Data statements .. */ /* Parameter adjustments */ --iwork; --rwork; --work; --s; --xact; --x; --bsav; --b; --asav; --afb; --a; --nval; --dotype; /* Function Body */ /* .. */ /* .. Executable Statements .. */ /* Initialize constants and the random number seed. */ s_copy(path, "Single precision", (ftnlen)1, (ftnlen)16); s_copy(path + 1, "GB", (ftnlen)2, (ftnlen)2); nrun = 0; nfail = 0; nerrs = 0; for (i__ = 1; i__ <= 4; ++i__) { iseed[i__ - 1] = iseedy[i__ - 1]; /* L10: */ } /* Test the error exits */ if (*tsterr) { serrvx_(path, nout); } infoc_1.infot = 0; /* Set the block size and minimum block size for testing. */ nb = 1; nbmin = 2; xlaenv_(&c__1, &nb); xlaenv_(&c__2, &nbmin); /* Do for each value of N in NVAL */ i__1 = *nn; for (in = 1; in <= i__1; ++in) { n = nval[in]; ldb = max(n,1); *(unsigned char *)xtype = 'N'; /* Set limits on the number of loop iterations. */ /* Computing MAX */ i__2 = 1, i__3 = min(n,4); nkl = max(i__2,i__3); if (n == 0) { nkl = 1; } nku = nkl; nimat = 8; if (n <= 0) { nimat = 1; } i__2 = nkl; for (ikl = 1; ikl <= i__2; ++ikl) { /* Do for KL = 0, N-1, (3N-1)/4, and (N+1)/4. This order makes */ /* it easier to skip redundant values for small values of N. */ if (ikl == 1) { kl = 0; } else if (ikl == 2) { /* Computing MAX */ i__3 = n - 1; kl = max(i__3,0); } else if (ikl == 3) { kl = (n * 3 - 1) / 4; } else if (ikl == 4) { kl = (n + 1) / 4; } i__3 = nku; for (iku = 1; iku <= i__3; ++iku) { /* Do for KU = 0, N-1, (3N-1)/4, and (N+1)/4. This order */ /* makes it easier to skip redundant values for small */ /* values of N. */ if (iku == 1) { ku = 0; } else if (iku == 2) { /* Computing MAX */ i__4 = n - 1; ku = max(i__4,0); } else if (iku == 3) { ku = (n * 3 - 1) / 4; } else if (iku == 4) { ku = (n + 1) / 4; } /* Check that A and AFB are big enough to generate this */ /* matrix. */ lda = kl + ku + 1; ldafb = (kl << 1) + ku + 1; if (lda * n > *la || ldafb * n > *lafb) { if (nfail == 0 && nerrs == 0) { aladhd_(nout, path); } if (lda * n > *la) { io___26.ciunit = *nout; s_wsfe(&io___26); do_fio(&c__1, (char *)&(*la), (ftnlen)sizeof(integer)) ; do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&kl, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, (ftnlen)sizeof(integer)); i__4 = n * (kl + ku + 1); do_fio(&c__1, (char *)&i__4, (ftnlen)sizeof(integer)); e_wsfe(); ++nerrs; } if (ldafb * n > *lafb) { io___27.ciunit = *nout; s_wsfe(&io___27); do_fio(&c__1, (char *)&(*lafb), (ftnlen)sizeof( integer)); do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&kl, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, (ftnlen)sizeof(integer)); i__4 = n * ((kl << 1) + ku + 1); do_fio(&c__1, (char *)&i__4, (ftnlen)sizeof(integer)); e_wsfe(); ++nerrs; } goto L130; } i__4 = nimat; for (imat = 1; imat <= i__4; ++imat) { /* Do the tests only if DOTYPE( IMAT ) is true. */ if (! dotype[imat]) { goto L120; } /* Skip types 2, 3, or 4 if the matrix is too small. */ zerot = imat >= 2 && imat <= 4; if (zerot && n < imat - 1) { goto L120; } /* Set up parameters with SLATB4 and generate a */ /* test matrix with SLATMS. */ slatb4_(path, &imat, &n, &n, type__, &kl, &ku, &anorm, & mode, &cndnum, dist); rcondc = 1.f / cndnum; s_copy(srnamc_1.srnamt, "SLATMS", (ftnlen)32, (ftnlen)6); slatms_(&n, &n, dist, iseed, type__, &rwork[1], &mode, & cndnum, &anorm, &kl, &ku, "Z", &a[1], &lda, &work[ 1], &info); /* Check the error code from SLATMS. */ if (info != 0) { alaerh_(path, "SLATMS", &info, &c__0, " ", &n, &n, & kl, &ku, &c_n1, &imat, &nfail, &nerrs, nout); goto L120; } /* For types 2, 3, and 4, zero one or more columns of */ /* the matrix to test that INFO is returned correctly. */ izero = 0; if (zerot) { if (imat == 2) { izero = 1; } else if (imat == 3) { izero = n; } else { izero = n / 2 + 1; } ioff = (izero - 1) * lda; if (imat < 4) { /* Computing MAX */ i__5 = 1, i__6 = ku + 2 - izero; i1 = max(i__5,i__6); /* Computing MIN */ i__5 = kl + ku + 1, i__6 = ku + 1 + (n - izero); i2 = min(i__5,i__6); i__5 = i2; for (i__ = i1; i__ <= i__5; ++i__) { a[ioff + i__] = 0.f; /* L20: */ } } else { i__5 = n; for (j = izero; j <= i__5; ++j) { /* Computing MAX */ i__6 = 1, i__7 = ku + 2 - j; /* Computing MIN */ i__9 = kl + ku + 1, i__10 = ku + 1 + (n - j); i__8 = min(i__9,i__10); for (i__ = max(i__6,i__7); i__ <= i__8; ++i__) { a[ioff + i__] = 0.f; /* L30: */ } ioff += lda; /* L40: */ } } } /* Save a copy of the matrix A in ASAV. */ i__5 = kl + ku + 1; slacpy_("Full", &i__5, &n, &a[1], &lda, &asav[1], &lda); for (iequed = 1; iequed <= 4; ++iequed) { *(unsigned char *)equed = *(unsigned char *)&equeds[ iequed - 1]; if (iequed == 1) { nfact = 3; } else { nfact = 1; } i__5 = nfact; for (ifact = 1; ifact <= i__5; ++ifact) { *(unsigned char *)fact = *(unsigned char *)&facts[ ifact - 1]; prefac = lsame_(fact, "F"); nofact = lsame_(fact, "N"); equil = lsame_(fact, "E"); if (zerot) { if (prefac) { goto L100; } rcondo = 0.f; rcondi = 0.f; } else if (! nofact) { /* Compute the condition number for comparison */ /* with the value returned by SGESVX (FACT = */ /* 'N' reuses the condition number from the */ /* previous iteration with FACT = 'F'). */ i__8 = kl + ku + 1; slacpy_("Full", &i__8, &n, &asav[1], &lda, & afb[kl + 1], &ldafb); if (equil || iequed > 1) { /* Compute row and column scale factors to */ /* equilibrate the matrix A. */ sgbequ_(&n, &n, &kl, &ku, &afb[kl + 1], & ldafb, &s[1], &s[n + 1], &rowcnd, &colcnd, &amax, &info); if (info == 0 && n > 0) { if (lsame_(equed, "R")) { rowcnd = 0.f; colcnd = 1.f; } else if (lsame_(equed, "C")) { rowcnd = 1.f; colcnd = 0.f; } else if (lsame_(equed, "B")) { rowcnd = 0.f; colcnd = 0.f; } /* Equilibrate the matrix. */ slaqgb_(&n, &n, &kl, &ku, &afb[kl + 1] , &ldafb, &s[1], &s[n + 1], & rowcnd, &colcnd, &amax, equed); } } /* Save the condition number of the */ /* non-equilibrated system for use in SGET04. */ if (equil) { roldo = rcondo; roldi = rcondi; } /* Compute the 1-norm and infinity-norm of A. */ anormo = slangb_("1", &n, &kl, &ku, &afb[kl + 1], &ldafb, &rwork[1]); anormi = slangb_("I", &n, &kl, &ku, &afb[kl + 1], &ldafb, &rwork[1]); /* Factor the matrix A. */ sgbtrf_(&n, &n, &kl, &ku, &afb[1], &ldafb, & iwork[1], &info); /* Form the inverse of A. */ slaset_("Full", &n, &n, &c_b48, &c_b49, &work[ 1], &ldb); s_copy(srnamc_1.srnamt, "SGBTRS", (ftnlen)32, (ftnlen)6); sgbtrs_("No transpose", &n, &kl, &ku, &n, & afb[1], &ldafb, &iwork[1], &work[1], & ldb, &info); /* Compute the 1-norm condition number of A. */ ainvnm = slange_("1", &n, &n, &work[1], &ldb, &rwork[1]); if (anormo <= 0.f || ainvnm <= 0.f) { rcondo = 1.f; } else { rcondo = 1.f / anormo / ainvnm; } /* Compute the infinity-norm condition number */ /* of A. */ ainvnm = slange_("I", &n, &n, &work[1], &ldb, &rwork[1]); if (anormi <= 0.f || ainvnm <= 0.f) { rcondi = 1.f; } else { rcondi = 1.f / anormi / ainvnm; } } for (itran = 1; itran <= 3; ++itran) { /* Do for each value of TRANS. */ *(unsigned char *)trans = *(unsigned char *)& transs[itran - 1]; if (itran == 1) { rcondc = rcondo; } else { rcondc = rcondi; } /* Restore the matrix A. */ i__8 = kl + ku + 1; slacpy_("Full", &i__8, &n, &asav[1], &lda, &a[ 1], &lda); /* Form an exact solution and set the right hand */ /* side. */ s_copy(srnamc_1.srnamt, "SLARHS", (ftnlen)32, (ftnlen)6); slarhs_(path, xtype, "Full", trans, &n, &n, & kl, &ku, nrhs, &a[1], &lda, &xact[1], &ldb, &b[1], &ldb, iseed, &info); *(unsigned char *)xtype = 'C'; slacpy_("Full", &n, nrhs, &b[1], &ldb, &bsav[ 1], &ldb); if (nofact && itran == 1) { /* --- Test SGBSV --- */ /* Compute the LU factorization of the matrix */ /* and solve the system. */ i__8 = kl + ku + 1; slacpy_("Full", &i__8, &n, &a[1], &lda, & afb[kl + 1], &ldafb); slacpy_("Full", &n, nrhs, &b[1], &ldb, &x[ 1], &ldb); s_copy(srnamc_1.srnamt, "SGBSV ", (ftnlen) 32, (ftnlen)6); sgbsv_(&n, &kl, &ku, nrhs, &afb[1], & ldafb, &iwork[1], &x[1], &ldb, & info); /* Check error code from SGBSV . */ if (info != izero) { alaerh_(path, "SGBSV ", &info, &izero, " ", &n, &n, &kl, &ku, nrhs, &imat, &nfail, &nerrs, nout); } /* Reconstruct matrix from factors and */ /* compute residual. */ sgbt01_(&n, &n, &kl, &ku, &a[1], &lda, & afb[1], &ldafb, &iwork[1], &work[ 1], result); nt = 1; if (izero == 0) { /* Compute residual of the computed */ /* solution. */ slacpy_("Full", &n, nrhs, &b[1], &ldb, &work[1], &ldb); sgbt02_("No transpose", &n, &n, &kl, & ku, nrhs, &a[1], &lda, &x[1], &ldb, &work[1], &ldb, &result[ 1]); /* Check solution from generated exact */ /* solution. */ sget04_(&n, nrhs, &x[1], &ldb, &xact[ 1], &ldb, &rcondc, &result[2]) ; nt = 3; } /* Print information about the tests that did */ /* not pass the threshold. */ i__8 = nt; for (k = 1; k <= i__8; ++k) { if (result[k - 1] >= *thresh) { if (nfail == 0 && nerrs == 0) { aladhd_(nout, path); } io___65.ciunit = *nout; s_wsfe(&io___65); do_fio(&c__1, "SGBSV ", (ftnlen)6) ; do_fio(&c__1, (char *)&n, (ftnlen) sizeof(integer)); do_fio(&c__1, (char *)&kl, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&imat, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&k, (ftnlen) sizeof(integer)); do_fio(&c__1, (char *)&result[k - 1], (ftnlen)sizeof(real)); e_wsfe(); ++nfail; } /* L50: */ } nrun += nt; } /* --- Test SGBSVX --- */ if (! prefac) { i__8 = (kl << 1) + ku + 1; slaset_("Full", &i__8, &n, &c_b48, &c_b48, &afb[1], &ldafb); } slaset_("Full", &n, nrhs, &c_b48, &c_b48, &x[ 1], &ldb); if (iequed > 1 && n > 0) { /* Equilibrate the matrix if FACT = 'F' and */ /* EQUED = 'R', 'C', or 'B'. */ slaqgb_(&n, &n, &kl, &ku, &a[1], &lda, &s[ 1], &s[n + 1], &rowcnd, &colcnd, & amax, equed); } /* Solve the system and compute the condition */ /* number and error bounds using SGBSVX. */ s_copy(srnamc_1.srnamt, "SGBSVX", (ftnlen)32, (ftnlen)6); sgbsvx_(fact, trans, &n, &kl, &ku, nrhs, &a[1] , &lda, &afb[1], &ldafb, &iwork[1], equed, &s[1], &s[n + 1], &b[1], &ldb, &x[1], &ldb, &rcond, &rwork[1], & rwork[*nrhs + 1], &work[1], &iwork[n + 1], &info); /* Check the error code from SGBSVX. */ if (info != izero) { /* Writing concatenation */ i__11[0] = 1, a__1[0] = fact; i__11[1] = 1, a__1[1] = trans; s_cat(ch__1, a__1, i__11, &c__2, (ftnlen) 2); alaerh_(path, "SGBSVX", &info, &izero, ch__1, &n, &n, &kl, &ku, nrhs, & imat, &nfail, &nerrs, nout); } /* Compare WORK(1) from SGBSVX with the computed */ /* reciprocal pivot growth factor RPVGRW */ if (info != 0) { anrmpv = 0.f; i__8 = info; for (j = 1; j <= i__8; ++j) { /* Computing MAX */ i__6 = ku + 2 - j; /* Computing MIN */ i__9 = n + ku + 1 - j, i__10 = kl + ku + 1; i__7 = min(i__9,i__10); for (i__ = max(i__6,1); i__ <= i__7; ++i__) { /* Computing MAX */ r__2 = anrmpv, r__3 = (r__1 = a[ i__ + (j - 1) * lda], dabs(r__1)); anrmpv = dmax(r__2,r__3); /* L60: */ } /* L70: */ } /* Computing MIN */ i__7 = info - 1, i__6 = kl + ku; i__8 = min(i__7,i__6); /* Computing MAX */ i__9 = 1, i__10 = kl + ku + 2 - info; rpvgrw = slantb_("M", "U", "N", &info, & i__8, &afb[max(i__9, i__10)], & ldafb, &work[1]); if (rpvgrw == 0.f) { rpvgrw = 1.f; } else { rpvgrw = anrmpv / rpvgrw; } } else { i__8 = kl + ku; rpvgrw = slantb_("M", "U", "N", &n, &i__8, &afb[1], &ldafb, &work[1]); if (rpvgrw == 0.f) { rpvgrw = 1.f; } else { rpvgrw = slangb_("M", &n, &kl, &ku, & a[1], &lda, &work[1]) / rpvgrw; } } result[6] = (r__1 = rpvgrw - work[1], dabs( r__1)) / dmax(work[1],rpvgrw) / slamch_("E"); if (! prefac) { /* Reconstruct matrix from factors and */ /* compute residual. */ sgbt01_(&n, &n, &kl, &ku, &a[1], &lda, & afb[1], &ldafb, &iwork[1], &work[ 1], result); k1 = 1; } else { k1 = 2; } if (info == 0) { trfcon = FALSE_; /* Compute residual of the computed solution. */ slacpy_("Full", &n, nrhs, &bsav[1], &ldb, &work[1], &ldb); sgbt02_(trans, &n, &n, &kl, &ku, nrhs, & asav[1], &lda, &x[1], &ldb, &work[ 1], &ldb, &result[1]); /* Check solution from generated exact */ /* solution. */ if (nofact || prefac && lsame_(equed, "N")) { sget04_(&n, nrhs, &x[1], &ldb, &xact[ 1], &ldb, &rcondc, &result[2]) ; } else { if (itran == 1) { roldc = roldo; } else { roldc = roldi; } sget04_(&n, nrhs, &x[1], &ldb, &xact[ 1], &ldb, &roldc, &result[2]); } /* Check the error bounds from iterative */ /* refinement. */ sgbt05_(trans, &n, &kl, &ku, nrhs, &asav[ 1], &lda, &b[1], &ldb, &x[1], & ldb, &xact[1], &ldb, &rwork[1], & rwork[*nrhs + 1], &result[3]); } else { trfcon = TRUE_; } /* Compare RCOND from SGBSVX with the computed */ /* value in RCONDC. */ result[5] = sget06_(&rcond, &rcondc); /* Print information about the tests that did */ /* not pass the threshold. */ if (! trfcon) { for (k = k1; k <= 7; ++k) { if (result[k - 1] >= *thresh) { if (nfail == 0 && nerrs == 0) { aladhd_(nout, path); } if (prefac) { io___72.ciunit = *nout; s_wsfe(&io___72); do_fio(&c__1, "SGBSVX", (ftnlen)6); do_fio(&c__1, fact, (ftnlen)1); do_fio(&c__1, trans, (ftnlen)1); do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&kl, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, (ftnlen)sizeof(integer)); do_fio(&c__1, equed, (ftnlen)1); do_fio(&c__1, (char *)&imat, (ftnlen)sizeof(integer) ); do_fio(&c__1, (char *)&k, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&result[k - 1], (ftnlen) sizeof(real)); e_wsfe(); } else { io___73.ciunit = *nout; s_wsfe(&io___73); do_fio(&c__1, "SGBSVX", (ftnlen)6); do_fio(&c__1, fact, (ftnlen)1); do_fio(&c__1, trans, (ftnlen)1); do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&kl, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&imat, (ftnlen)sizeof(integer) ); do_fio(&c__1, (char *)&k, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&result[k - 1], (ftnlen) sizeof(real)); e_wsfe(); } ++nfail; } /* L80: */ } nrun = nrun + 7 - k1; } else { if (result[0] >= *thresh && ! prefac) { if (nfail == 0 && nerrs == 0) { aladhd_(nout, path); } if (prefac) { io___74.ciunit = *nout; s_wsfe(&io___74); do_fio(&c__1, "SGBSVX", (ftnlen)6) ; do_fio(&c__1, fact, (ftnlen)1); do_fio(&c__1, trans, (ftnlen)1); do_fio(&c__1, (char *)&n, (ftnlen) sizeof(integer)); do_fio(&c__1, (char *)&kl, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, ( ftnlen)sizeof(integer)); do_fio(&c__1, equed, (ftnlen)1); do_fio(&c__1, (char *)&imat, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&c__1, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&result[0], (ftnlen)sizeof(real)); e_wsfe(); } else { io___75.ciunit = *nout; s_wsfe(&io___75); do_fio(&c__1, "SGBSVX", (ftnlen)6) ; do_fio(&c__1, fact, (ftnlen)1); do_fio(&c__1, trans, (ftnlen)1); do_fio(&c__1, (char *)&n, (ftnlen) sizeof(integer)); do_fio(&c__1, (char *)&kl, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&imat, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&c__1, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&result[0], (ftnlen)sizeof(real)); e_wsfe(); } ++nfail; ++nrun; } if (result[5] >= *thresh) { if (nfail == 0 && nerrs == 0) { aladhd_(nout, path); } if (prefac) { io___76.ciunit = *nout; s_wsfe(&io___76); do_fio(&c__1, "SGBSVX", (ftnlen)6) ; do_fio(&c__1, fact, (ftnlen)1); do_fio(&c__1, trans, (ftnlen)1); do_fio(&c__1, (char *)&n, (ftnlen) sizeof(integer)); do_fio(&c__1, (char *)&kl, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, ( ftnlen)sizeof(integer)); do_fio(&c__1, equed, (ftnlen)1); do_fio(&c__1, (char *)&imat, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&c__6, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&result[5], (ftnlen)sizeof(real)); e_wsfe(); } else { io___77.ciunit = *nout; s_wsfe(&io___77); do_fio(&c__1, "SGBSVX", (ftnlen)6) ; do_fio(&c__1, fact, (ftnlen)1); do_fio(&c__1, trans, (ftnlen)1); do_fio(&c__1, (char *)&n, (ftnlen) sizeof(integer)); do_fio(&c__1, (char *)&kl, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&imat, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&c__6, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&result[5], (ftnlen)sizeof(real)); e_wsfe(); } ++nfail; ++nrun; } if (result[6] >= *thresh) { if (nfail == 0 && nerrs == 0) { aladhd_(nout, path); } if (prefac) { io___78.ciunit = *nout; s_wsfe(&io___78); do_fio(&c__1, "SGBSVX", (ftnlen)6) ; do_fio(&c__1, fact, (ftnlen)1); do_fio(&c__1, trans, (ftnlen)1); do_fio(&c__1, (char *)&n, (ftnlen) sizeof(integer)); do_fio(&c__1, (char *)&kl, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, ( ftnlen)sizeof(integer)); do_fio(&c__1, equed, (ftnlen)1); do_fio(&c__1, (char *)&imat, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&c__7, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&result[6], (ftnlen)sizeof(real)); e_wsfe(); } else { io___79.ciunit = *nout; s_wsfe(&io___79); do_fio(&c__1, "SGBSVX", (ftnlen)6) ; do_fio(&c__1, fact, (ftnlen)1); do_fio(&c__1, trans, (ftnlen)1); do_fio(&c__1, (char *)&n, (ftnlen) sizeof(integer)); do_fio(&c__1, (char *)&kl, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&ku, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&imat, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&c__7, ( ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&result[6], (ftnlen)sizeof(real)); e_wsfe(); } ++nfail; ++nrun; } } /* L90: */ } L100: ; } /* L110: */ } L120: ; } L130: ; } /* L140: */ } /* L150: */ } /* Print a summary of the results. */ alasvm_(path, nout, &nfail, &nrun, &nerrs); return 0; /* End of SDRVGB */ } /* sdrvgb_ */