b9c9f81761
parent so that they can be used interchangeably in other software. Removed PsuedBinaryVPSSTP in favor of MolarityIonicVPSSTP
724 lines
22 KiB
Fortran
724 lines
22 KiB
Fortran
SUBROUTINE DLATBS( UPLO, TRANS, DIAG, NORMIN, N, KD, AB, LDAB, X,
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$ SCALE, CNORM, INFO )
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*
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* -- LAPACK auxiliary routine (version 3.0) --
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* Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
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* Courant Institute, Argonne National Lab, and Rice University
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* June 30, 1992
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*
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* .. Scalar Arguments ..
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CHARACTER DIAG, NORMIN, TRANS, UPLO
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INTEGER INFO, KD, LDAB, N
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DOUBLE PRECISION SCALE
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* ..
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* .. Array Arguments ..
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DOUBLE PRECISION AB( LDAB, * ), CNORM( * ), X( * )
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* ..
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*
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* Purpose
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* =======
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*
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* DLATBS solves one of the triangular systems
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*
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* A *x = s*b or A'*x = s*b
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*
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* with scaling to prevent overflow, where A is an upper or lower
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* triangular band matrix. Here A' denotes the transpose of A, x and b
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* are n-element vectors, and s is a scaling factor, usually less than
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* or equal to 1, chosen so that the components of x will be less than
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* the overflow threshold. If the unscaled problem will not cause
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* overflow, the Level 2 BLAS routine DTBSV is called. If the matrix A
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* is singular (A(j,j) = 0 for some j), then s is set to 0 and a
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* non-trivial solution to A*x = 0 is returned.
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*
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* Arguments
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* =========
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*
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* UPLO (input) CHARACTER*1
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* Specifies whether the matrix A is upper or lower triangular.
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* = 'U': Upper triangular
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* = 'L': Lower triangular
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*
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* TRANS (input) CHARACTER*1
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* Specifies the operation applied to A.
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* = 'N': Solve A * x = s*b (No transpose)
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* = 'T': Solve A'* x = s*b (Transpose)
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* = 'C': Solve A'* x = s*b (Conjugate transpose = Transpose)
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*
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* DIAG (input) CHARACTER*1
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* Specifies whether or not the matrix A is unit triangular.
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* = 'N': Non-unit triangular
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* = 'U': Unit triangular
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*
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* NORMIN (input) CHARACTER*1
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* Specifies whether CNORM has been set or not.
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* = 'Y': CNORM contains the column norms on entry
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* = 'N': CNORM is not set on entry. On exit, the norms will
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* be computed and stored in CNORM.
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*
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* N (input) INTEGER
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* The order of the matrix A. N >= 0.
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*
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* KD (input) INTEGER
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* The number of subdiagonals or superdiagonals in the
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* triangular matrix A. KD >= 0.
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*
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* AB (input) DOUBLE PRECISION array, dimension (LDAB,N)
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* The upper or lower triangular band matrix A, stored in the
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* first KD+1 rows of the array. The j-th column of A is stored
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* in the j-th column of the array AB as follows:
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* if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
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* if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+kd).
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*
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* LDAB (input) INTEGER
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* The leading dimension of the array AB. LDAB >= KD+1.
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*
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* X (input/output) DOUBLE PRECISION array, dimension (N)
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* On entry, the right hand side b of the triangular system.
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* On exit, X is overwritten by the solution vector x.
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*
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* SCALE (output) DOUBLE PRECISION
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* The scaling factor s for the triangular system
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* A * x = s*b or A'* x = s*b.
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* If SCALE = 0, the matrix A is singular or badly scaled, and
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* the vector x is an exact or approximate solution to A*x = 0.
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*
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* CNORM (input or output) DOUBLE PRECISION array, dimension (N)
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*
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* If NORMIN = 'Y', CNORM is an input argument and CNORM(j)
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* contains the norm of the off-diagonal part of the j-th column
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* of A. If TRANS = 'N', CNORM(j) must be greater than or equal
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* to the infinity-norm, and if TRANS = 'T' or 'C', CNORM(j)
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* must be greater than or equal to the 1-norm.
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*
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* If NORMIN = 'N', CNORM is an output argument and CNORM(j)
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* returns the 1-norm of the offdiagonal part of the j-th column
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* of A.
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*
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* INFO (output) INTEGER
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* = 0: successful exit
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* < 0: if INFO = -k, the k-th argument had an illegal value
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*
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* Further Details
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* ======= =======
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*
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* A rough bound on x is computed; if that is less than overflow, DTBSV
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* is called, otherwise, specific code is used which checks for possible
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* overflow or divide-by-zero at every operation.
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*
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* A columnwise scheme is used for solving A*x = b. The basic algorithm
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* if A is lower triangular is
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*
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* x[1:n] := b[1:n]
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* for j = 1, ..., n
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* x(j) := x(j) / A(j,j)
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* x[j+1:n] := x[j+1:n] - x(j) * A[j+1:n,j]
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* end
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*
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* Define bounds on the components of x after j iterations of the loop:
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* M(j) = bound on x[1:j]
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* G(j) = bound on x[j+1:n]
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* Initially, let M(0) = 0 and G(0) = max{x(i), i=1,...,n}.
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*
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* Then for iteration j+1 we have
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* M(j+1) <= G(j) / | A(j+1,j+1) |
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* G(j+1) <= G(j) + M(j+1) * | A[j+2:n,j+1] |
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* <= G(j) ( 1 + CNORM(j+1) / | A(j+1,j+1) | )
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*
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* where CNORM(j+1) is greater than or equal to the infinity-norm of
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* column j+1 of A, not counting the diagonal. Hence
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*
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* G(j) <= G(0) product ( 1 + CNORM(i) / | A(i,i) | )
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* 1<=i<=j
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* and
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*
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* |x(j)| <= ( G(0) / |A(j,j)| ) product ( 1 + CNORM(i) / |A(i,i)| )
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* 1<=i< j
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*
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* Since |x(j)| <= M(j), we use the Level 2 BLAS routine DTBSV if the
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* reciprocal of the largest M(j), j=1,..,n, is larger than
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* max(underflow, 1/overflow).
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*
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* The bound on x(j) is also used to determine when a step in the
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* columnwise method can be performed without fear of overflow. If
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* the computed bound is greater than a large constant, x is scaled to
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* prevent overflow, but if the bound overflows, x is set to 0, x(j) to
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* 1, and scale to 0, and a non-trivial solution to A*x = 0 is found.
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*
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* Similarly, a row-wise scheme is used to solve A'*x = b. The basic
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* algorithm for A upper triangular is
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*
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* for j = 1, ..., n
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* x(j) := ( b(j) - A[1:j-1,j]' * x[1:j-1] ) / A(j,j)
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* end
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*
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* We simultaneously compute two bounds
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* G(j) = bound on ( b(i) - A[1:i-1,i]' * x[1:i-1] ), 1<=i<=j
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* M(j) = bound on x(i), 1<=i<=j
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*
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* The initial values are G(0) = 0, M(0) = max{b(i), i=1,..,n}, and we
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* add the constraint G(j) >= G(j-1) and M(j) >= M(j-1) for j >= 1.
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* Then the bound on x(j) is
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*
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* M(j) <= M(j-1) * ( 1 + CNORM(j) ) / | A(j,j) |
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*
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* <= M(0) * product ( ( 1 + CNORM(i) ) / |A(i,i)| )
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* 1<=i<=j
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*
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* and we can safely call DTBSV if 1/M(n) and 1/G(n) are both greater
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* than max(underflow, 1/overflow).
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*
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* =====================================================================
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*
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* .. Parameters ..
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DOUBLE PRECISION ZERO, HALF, ONE
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PARAMETER ( ZERO = 0.0D+0, HALF = 0.5D+0, ONE = 1.0D+0 )
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* ..
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* .. Local Scalars ..
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LOGICAL NOTRAN, NOUNIT, UPPER
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INTEGER I, IMAX, J, JFIRST, JINC, JLAST, JLEN, MAIND
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DOUBLE PRECISION BIGNUM, GROW, REC, SMLNUM, SUMJ, TJJ, TJJS,
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$ TMAX, TSCAL, USCAL, XBND, XJ, XMAX
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* ..
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* .. External Functions ..
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LOGICAL LSAME
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INTEGER IDAMAX
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DOUBLE PRECISION DASUM, DDOT, DLAMCH
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EXTERNAL LSAME, IDAMAX, DASUM, DDOT, DLAMCH
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* ..
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* .. External Subroutines ..
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EXTERNAL DAXPY, DSCAL, DTBSV, XERBLA
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* ..
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* .. Intrinsic Functions ..
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INTRINSIC ABS, MAX, MIN
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* ..
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* .. Executable Statements ..
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*
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INFO = 0
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UPPER = LSAME( UPLO, 'U' )
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NOTRAN = LSAME( TRANS, 'N' )
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NOUNIT = LSAME( DIAG, 'N' )
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*
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* Test the input parameters.
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*
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IF( .NOT.UPPER .AND. .NOT.LSAME( UPLO, 'L' ) ) THEN
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INFO = -1
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ELSE IF( .NOT.NOTRAN .AND. .NOT.LSAME( TRANS, 'T' ) .AND. .NOT.
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$ LSAME( TRANS, 'C' ) ) THEN
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INFO = -2
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ELSE IF( .NOT.NOUNIT .AND. .NOT.LSAME( DIAG, 'U' ) ) THEN
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INFO = -3
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ELSE IF( .NOT.LSAME( NORMIN, 'Y' ) .AND. .NOT.
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$ LSAME( NORMIN, 'N' ) ) THEN
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INFO = -4
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ELSE IF( N.LT.0 ) THEN
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INFO = -5
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ELSE IF( KD.LT.0 ) THEN
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INFO = -6
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ELSE IF( LDAB.LT.KD+1 ) THEN
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INFO = -8
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END IF
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IF( INFO.NE.0 ) THEN
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CALL XERBLA( 'DLATBS', -INFO )
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RETURN
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END IF
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*
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* Quick return if possible
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*
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IF( N.EQ.0 )
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$ RETURN
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*
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* Determine machine dependent parameters to control overflow.
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*
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SMLNUM = DLAMCH( 'Safe minimum' ) / DLAMCH( 'Precision' )
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BIGNUM = ONE / SMLNUM
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SCALE = ONE
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*
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IF( LSAME( NORMIN, 'N' ) ) THEN
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*
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* Compute the 1-norm of each column, not including the diagonal.
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*
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IF( UPPER ) THEN
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*
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* A is upper triangular.
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*
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DO 10 J = 1, N
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JLEN = MIN( KD, J-1 )
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CNORM( J ) = DASUM( JLEN, AB( KD+1-JLEN, J ), 1 )
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10 CONTINUE
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ELSE
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*
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* A is lower triangular.
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*
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DO 20 J = 1, N
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JLEN = MIN( KD, N-J )
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IF( JLEN.GT.0 ) THEN
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CNORM( J ) = DASUM( JLEN, AB( 2, J ), 1 )
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ELSE
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CNORM( J ) = ZERO
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END IF
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20 CONTINUE
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END IF
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END IF
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*
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* Scale the column norms by TSCAL if the maximum element in CNORM is
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* greater than BIGNUM.
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*
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IMAX = IDAMAX( N, CNORM, 1 )
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TMAX = CNORM( IMAX )
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IF( TMAX.LE.BIGNUM ) THEN
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TSCAL = ONE
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ELSE
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TSCAL = ONE / ( SMLNUM*TMAX )
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CALL DSCAL( N, TSCAL, CNORM, 1 )
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END IF
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*
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* Compute a bound on the computed solution vector to see if the
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* Level 2 BLAS routine DTBSV can be used.
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*
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J = IDAMAX( N, X, 1 )
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XMAX = ABS( X( J ) )
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XBND = XMAX
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IF( NOTRAN ) THEN
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*
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* Compute the growth in A * x = b.
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*
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IF( UPPER ) THEN
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JFIRST = N
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JLAST = 1
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JINC = -1
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MAIND = KD + 1
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ELSE
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JFIRST = 1
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JLAST = N
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JINC = 1
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MAIND = 1
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END IF
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*
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IF( TSCAL.NE.ONE ) THEN
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GROW = ZERO
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GO TO 50
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END IF
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*
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IF( NOUNIT ) THEN
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*
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* A is non-unit triangular.
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*
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* Compute GROW = 1/G(j) and XBND = 1/M(j).
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* Initially, G(0) = max{x(i), i=1,...,n}.
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*
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GROW = ONE / MAX( XBND, SMLNUM )
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XBND = GROW
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DO 30 J = JFIRST, JLAST, JINC
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*
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* Exit the loop if the growth factor is too small.
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*
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IF( GROW.LE.SMLNUM )
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$ GO TO 50
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*
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* M(j) = G(j-1) / abs(A(j,j))
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*
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TJJ = ABS( AB( MAIND, J ) )
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XBND = MIN( XBND, MIN( ONE, TJJ )*GROW )
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IF( TJJ+CNORM( J ).GE.SMLNUM ) THEN
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*
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* G(j) = G(j-1)*( 1 + CNORM(j) / abs(A(j,j)) )
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*
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GROW = GROW*( TJJ / ( TJJ+CNORM( J ) ) )
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ELSE
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*
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* G(j) could overflow, set GROW to 0.
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*
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GROW = ZERO
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END IF
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30 CONTINUE
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GROW = XBND
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ELSE
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*
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* A is unit triangular.
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*
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* Compute GROW = 1/G(j), where G(0) = max{x(i), i=1,...,n}.
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*
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GROW = MIN( ONE, ONE / MAX( XBND, SMLNUM ) )
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DO 40 J = JFIRST, JLAST, JINC
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*
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* Exit the loop if the growth factor is too small.
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*
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IF( GROW.LE.SMLNUM )
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$ GO TO 50
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*
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* G(j) = G(j-1)*( 1 + CNORM(j) )
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*
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GROW = GROW*( ONE / ( ONE+CNORM( J ) ) )
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40 CONTINUE
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END IF
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50 CONTINUE
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*
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ELSE
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*
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* Compute the growth in A' * x = b.
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*
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IF( UPPER ) THEN
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JFIRST = 1
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JLAST = N
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JINC = 1
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MAIND = KD + 1
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ELSE
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JFIRST = N
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JLAST = 1
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JINC = -1
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MAIND = 1
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END IF
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*
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IF( TSCAL.NE.ONE ) THEN
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GROW = ZERO
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GO TO 80
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END IF
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*
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IF( NOUNIT ) THEN
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*
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* A is non-unit triangular.
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*
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* Compute GROW = 1/G(j) and XBND = 1/M(j).
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* Initially, M(0) = max{x(i), i=1,...,n}.
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*
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GROW = ONE / MAX( XBND, SMLNUM )
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XBND = GROW
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DO 60 J = JFIRST, JLAST, JINC
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*
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* Exit the loop if the growth factor is too small.
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*
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IF( GROW.LE.SMLNUM )
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$ GO TO 80
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*
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* G(j) = max( G(j-1), M(j-1)*( 1 + CNORM(j) ) )
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*
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XJ = ONE + CNORM( J )
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GROW = MIN( GROW, XBND / XJ )
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*
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* M(j) = M(j-1)*( 1 + CNORM(j) ) / abs(A(j,j))
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*
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TJJ = ABS( AB( MAIND, J ) )
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IF( XJ.GT.TJJ )
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$ XBND = XBND*( TJJ / XJ )
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60 CONTINUE
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GROW = MIN( GROW, XBND )
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ELSE
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*
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* A is unit triangular.
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*
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* Compute GROW = 1/G(j), where G(0) = max{x(i), i=1,...,n}.
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*
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GROW = MIN( ONE, ONE / MAX( XBND, SMLNUM ) )
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DO 70 J = JFIRST, JLAST, JINC
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*
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* Exit the loop if the growth factor is too small.
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*
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IF( GROW.LE.SMLNUM )
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$ GO TO 80
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*
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* G(j) = ( 1 + CNORM(j) )*G(j-1)
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*
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XJ = ONE + CNORM( J )
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GROW = GROW / XJ
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70 CONTINUE
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END IF
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80 CONTINUE
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END IF
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*
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|
IF( ( GROW*TSCAL ).GT.SMLNUM ) THEN
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*
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* Use the Level 2 BLAS solve if the reciprocal of the bound on
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* elements of X is not too small.
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*
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CALL DTBSV( UPLO, TRANS, DIAG, N, KD, AB, LDAB, X, 1 )
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ELSE
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*
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* Use a Level 1 BLAS solve, scaling intermediate results.
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*
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|
IF( XMAX.GT.BIGNUM ) THEN
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*
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* Scale X so that its components are less than or equal to
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* BIGNUM in absolute value.
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*
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SCALE = BIGNUM / XMAX
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CALL DSCAL( N, SCALE, X, 1 )
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XMAX = BIGNUM
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END IF
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*
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|
IF( NOTRAN ) THEN
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*
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* Solve A * x = b
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*
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|
DO 110 J = JFIRST, JLAST, JINC
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*
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* Compute x(j) = b(j) / A(j,j), scaling x if necessary.
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*
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XJ = ABS( X( J ) )
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IF( NOUNIT ) THEN
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TJJS = AB( MAIND, J )*TSCAL
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ELSE
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TJJS = TSCAL
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IF( TSCAL.EQ.ONE )
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$ GO TO 100
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END IF
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TJJ = ABS( TJJS )
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IF( TJJ.GT.SMLNUM ) THEN
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*
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* abs(A(j,j)) > SMLNUM:
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*
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IF( TJJ.LT.ONE ) THEN
|
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IF( XJ.GT.TJJ*BIGNUM ) THEN
|
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*
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|
* Scale x by 1/b(j).
|
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*
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|
REC = ONE / XJ
|
|
CALL DSCAL( N, REC, X, 1 )
|
|
SCALE = SCALE*REC
|
|
XMAX = XMAX*REC
|
|
END IF
|
|
END IF
|
|
X( J ) = X( J ) / TJJS
|
|
XJ = ABS( X( J ) )
|
|
ELSE IF( TJJ.GT.ZERO ) THEN
|
|
*
|
|
* 0 < abs(A(j,j)) <= SMLNUM:
|
|
*
|
|
IF( XJ.GT.TJJ*BIGNUM ) THEN
|
|
*
|
|
* Scale x by (1/abs(x(j)))*abs(A(j,j))*BIGNUM
|
|
* to avoid overflow when dividing by A(j,j).
|
|
*
|
|
REC = ( TJJ*BIGNUM ) / XJ
|
|
IF( CNORM( J ).GT.ONE ) THEN
|
|
*
|
|
* Scale by 1/CNORM(j) to avoid overflow when
|
|
* multiplying x(j) times column j.
|
|
*
|
|
REC = REC / CNORM( J )
|
|
END IF
|
|
CALL DSCAL( N, REC, X, 1 )
|
|
SCALE = SCALE*REC
|
|
XMAX = XMAX*REC
|
|
END IF
|
|
X( J ) = X( J ) / TJJS
|
|
XJ = ABS( X( J ) )
|
|
ELSE
|
|
*
|
|
* A(j,j) = 0: Set x(1:n) = 0, x(j) = 1, and
|
|
* scale = 0, and compute a solution to A*x = 0.
|
|
*
|
|
DO 90 I = 1, N
|
|
X( I ) = ZERO
|
|
90 CONTINUE
|
|
X( J ) = ONE
|
|
XJ = ONE
|
|
SCALE = ZERO
|
|
XMAX = ZERO
|
|
END IF
|
|
100 CONTINUE
|
|
*
|
|
* Scale x if necessary to avoid overflow when adding a
|
|
* multiple of column j of A.
|
|
*
|
|
IF( XJ.GT.ONE ) THEN
|
|
REC = ONE / XJ
|
|
IF( CNORM( J ).GT.( BIGNUM-XMAX )*REC ) THEN
|
|
*
|
|
* Scale x by 1/(2*abs(x(j))).
|
|
*
|
|
REC = REC*HALF
|
|
CALL DSCAL( N, REC, X, 1 )
|
|
SCALE = SCALE*REC
|
|
END IF
|
|
ELSE IF( XJ*CNORM( J ).GT.( BIGNUM-XMAX ) ) THEN
|
|
*
|
|
* Scale x by 1/2.
|
|
*
|
|
CALL DSCAL( N, HALF, X, 1 )
|
|
SCALE = SCALE*HALF
|
|
END IF
|
|
*
|
|
IF( UPPER ) THEN
|
|
IF( J.GT.1 ) THEN
|
|
*
|
|
* Compute the update
|
|
* x(max(1,j-kd):j-1) := x(max(1,j-kd):j-1) -
|
|
* x(j)* A(max(1,j-kd):j-1,j)
|
|
*
|
|
JLEN = MIN( KD, J-1 )
|
|
CALL DAXPY( JLEN, -X( J )*TSCAL,
|
|
$ AB( KD+1-JLEN, J ), 1, X( J-JLEN ), 1 )
|
|
I = IDAMAX( J-1, X, 1 )
|
|
XMAX = ABS( X( I ) )
|
|
END IF
|
|
ELSE IF( J.LT.N ) THEN
|
|
*
|
|
* Compute the update
|
|
* x(j+1:min(j+kd,n)) := x(j+1:min(j+kd,n)) -
|
|
* x(j) * A(j+1:min(j+kd,n),j)
|
|
*
|
|
JLEN = MIN( KD, N-J )
|
|
IF( JLEN.GT.0 )
|
|
$ CALL DAXPY( JLEN, -X( J )*TSCAL, AB( 2, J ), 1,
|
|
$ X( J+1 ), 1 )
|
|
I = J + IDAMAX( N-J, X( J+1 ), 1 )
|
|
XMAX = ABS( X( I ) )
|
|
END IF
|
|
110 CONTINUE
|
|
*
|
|
ELSE
|
|
*
|
|
* Solve A' * x = b
|
|
*
|
|
DO 160 J = JFIRST, JLAST, JINC
|
|
*
|
|
* Compute x(j) = b(j) - sum A(k,j)*x(k).
|
|
* k<>j
|
|
*
|
|
XJ = ABS( X( J ) )
|
|
USCAL = TSCAL
|
|
REC = ONE / MAX( XMAX, ONE )
|
|
IF( CNORM( J ).GT.( BIGNUM-XJ )*REC ) THEN
|
|
*
|
|
* If x(j) could overflow, scale x by 1/(2*XMAX).
|
|
*
|
|
REC = REC*HALF
|
|
IF( NOUNIT ) THEN
|
|
TJJS = AB( MAIND, J )*TSCAL
|
|
ELSE
|
|
TJJS = TSCAL
|
|
END IF
|
|
TJJ = ABS( TJJS )
|
|
IF( TJJ.GT.ONE ) THEN
|
|
*
|
|
* Divide by A(j,j) when scaling x if A(j,j) > 1.
|
|
*
|
|
REC = MIN( ONE, REC*TJJ )
|
|
USCAL = USCAL / TJJS
|
|
END IF
|
|
IF( REC.LT.ONE ) THEN
|
|
CALL DSCAL( N, REC, X, 1 )
|
|
SCALE = SCALE*REC
|
|
XMAX = XMAX*REC
|
|
END IF
|
|
END IF
|
|
*
|
|
SUMJ = ZERO
|
|
IF( USCAL.EQ.ONE ) THEN
|
|
*
|
|
* If the scaling needed for A in the dot product is 1,
|
|
* call DDOT to perform the dot product.
|
|
*
|
|
IF( UPPER ) THEN
|
|
JLEN = MIN( KD, J-1 )
|
|
SUMJ = DDOT( JLEN, AB( KD+1-JLEN, J ), 1,
|
|
$ X( J-JLEN ), 1 )
|
|
ELSE
|
|
JLEN = MIN( KD, N-J )
|
|
IF( JLEN.GT.0 )
|
|
$ SUMJ = DDOT( JLEN, AB( 2, J ), 1, X( J+1 ), 1 )
|
|
END IF
|
|
ELSE
|
|
*
|
|
* Otherwise, use in-line code for the dot product.
|
|
*
|
|
IF( UPPER ) THEN
|
|
JLEN = MIN( KD, J-1 )
|
|
DO 120 I = 1, JLEN
|
|
SUMJ = SUMJ + ( AB( KD+I-JLEN, J )*USCAL )*
|
|
$ X( J-JLEN-1+I )
|
|
120 CONTINUE
|
|
ELSE
|
|
JLEN = MIN( KD, N-J )
|
|
DO 130 I = 1, JLEN
|
|
SUMJ = SUMJ + ( AB( I+1, J )*USCAL )*X( J+I )
|
|
130 CONTINUE
|
|
END IF
|
|
END IF
|
|
*
|
|
IF( USCAL.EQ.TSCAL ) THEN
|
|
*
|
|
* Compute x(j) := ( x(j) - sumj ) / A(j,j) if 1/A(j,j)
|
|
* was not used to scale the dotproduct.
|
|
*
|
|
X( J ) = X( J ) - SUMJ
|
|
XJ = ABS( X( J ) )
|
|
IF( NOUNIT ) THEN
|
|
*
|
|
* Compute x(j) = x(j) / A(j,j), scaling if necessary.
|
|
*
|
|
TJJS = AB( MAIND, J )*TSCAL
|
|
ELSE
|
|
TJJS = TSCAL
|
|
IF( TSCAL.EQ.ONE )
|
|
$ GO TO 150
|
|
END IF
|
|
TJJ = ABS( TJJS )
|
|
IF( TJJ.GT.SMLNUM ) THEN
|
|
*
|
|
* abs(A(j,j)) > SMLNUM:
|
|
*
|
|
IF( TJJ.LT.ONE ) THEN
|
|
IF( XJ.GT.TJJ*BIGNUM ) THEN
|
|
*
|
|
* Scale X by 1/abs(x(j)).
|
|
*
|
|
REC = ONE / XJ
|
|
CALL DSCAL( N, REC, X, 1 )
|
|
SCALE = SCALE*REC
|
|
XMAX = XMAX*REC
|
|
END IF
|
|
END IF
|
|
X( J ) = X( J ) / TJJS
|
|
ELSE IF( TJJ.GT.ZERO ) THEN
|
|
*
|
|
* 0 < abs(A(j,j)) <= SMLNUM:
|
|
*
|
|
IF( XJ.GT.TJJ*BIGNUM ) THEN
|
|
*
|
|
* Scale x by (1/abs(x(j)))*abs(A(j,j))*BIGNUM.
|
|
*
|
|
REC = ( TJJ*BIGNUM ) / XJ
|
|
CALL DSCAL( N, REC, X, 1 )
|
|
SCALE = SCALE*REC
|
|
XMAX = XMAX*REC
|
|
END IF
|
|
X( J ) = X( J ) / TJJS
|
|
ELSE
|
|
*
|
|
* A(j,j) = 0: Set x(1:n) = 0, x(j) = 1, and
|
|
* scale = 0, and compute a solution to A'*x = 0.
|
|
*
|
|
DO 140 I = 1, N
|
|
X( I ) = ZERO
|
|
140 CONTINUE
|
|
X( J ) = ONE
|
|
SCALE = ZERO
|
|
XMAX = ZERO
|
|
END IF
|
|
150 CONTINUE
|
|
ELSE
|
|
*
|
|
* Compute x(j) := x(j) / A(j,j) - sumj if the dot
|
|
* product has already been divided by 1/A(j,j).
|
|
*
|
|
X( J ) = X( J ) / TJJS - SUMJ
|
|
END IF
|
|
XMAX = MAX( XMAX, ABS( X( J ) ) )
|
|
160 CONTINUE
|
|
END IF
|
|
SCALE = SCALE / TSCAL
|
|
END IF
|
|
*
|
|
* Scale the column norms by 1/TSCAL for return.
|
|
*
|
|
IF( TSCAL.NE.ONE ) THEN
|
|
CALL DSCAL( N, ONE / TSCAL, CNORM, 1 )
|
|
END IF
|
|
*
|
|
RETURN
|
|
*
|
|
* End of DLATBS
|
|
*
|
|
END
|