--- rpl/lapack/lapack/dlatps.f 2011/07/22 07:38:08 1.8 +++ rpl/lapack/lapack/dlatps.f 2011/11/21 20:42:59 1.9 @@ -1,10 +1,238 @@ +*> \brief \b DLATPS +* +* =========== DOCUMENTATION =========== +* +* Online html documentation available at +* http://www.netlib.org/lapack/explore-html/ +* +*> \htmlonly +*> Download DLATPS + dependencies +*> +*> [TGZ] +*> +*> [ZIP] +*> +*> [TXT] +*> \endhtmlonly +* +* Definition: +* =========== +* +* SUBROUTINE DLATPS( UPLO, TRANS, DIAG, NORMIN, N, AP, X, SCALE, +* CNORM, INFO ) +* +* .. Scalar Arguments .. +* CHARACTER DIAG, NORMIN, TRANS, UPLO +* INTEGER INFO, N +* DOUBLE PRECISION SCALE +* .. +* .. Array Arguments .. +* DOUBLE PRECISION AP( * ), CNORM( * ), X( * ) +* .. +* +* +*> \par Purpose: +* ============= +*> +*> \verbatim +*> +*> DLATPS solves one of the triangular systems +*> +*> A *x = s*b or A**T*x = s*b +*> +*> with scaling to prevent overflow, where A is an upper or lower +*> triangular matrix stored in packed form. Here A**T denotes the +*> transpose of A, x and b are n-element vectors, and s is a scaling +*> factor, usually less than or equal to 1, chosen so that the +*> components of x will be less than the overflow threshold. If the +*> unscaled problem will not cause overflow, the Level 2 BLAS routine +*> DTPSV is called. If the matrix A is singular (A(j,j) = 0 for some j), +*> then s is set to 0 and a non-trivial solution to A*x = 0 is returned. +*> \endverbatim +* +* Arguments: +* ========== +* +*> \param[in] UPLO +*> \verbatim +*> UPLO is CHARACTER*1 +*> Specifies whether the matrix A is upper or lower triangular. +*> = 'U': Upper triangular +*> = 'L': Lower triangular +*> \endverbatim +*> +*> \param[in] TRANS +*> \verbatim +*> TRANS is CHARACTER*1 +*> Specifies the operation applied to A. +*> = 'N': Solve A * x = s*b (No transpose) +*> = 'T': Solve A**T* x = s*b (Transpose) +*> = 'C': Solve A**T* x = s*b (Conjugate transpose = Transpose) +*> \endverbatim +*> +*> \param[in] DIAG +*> \verbatim +*> DIAG is CHARACTER*1 +*> Specifies whether or not the matrix A is unit triangular. +*> = 'N': Non-unit triangular +*> = 'U': Unit triangular +*> \endverbatim +*> +*> \param[in] NORMIN +*> \verbatim +*> NORMIN is CHARACTER*1 +*> Specifies whether CNORM has been set or not. +*> = 'Y': CNORM contains the column norms on entry +*> = 'N': CNORM is not set on entry. On exit, the norms will +*> be computed and stored in CNORM. +*> \endverbatim +*> +*> \param[in] N +*> \verbatim +*> N is INTEGER +*> The order of the matrix A. N >= 0. +*> \endverbatim +*> +*> \param[in] AP +*> \verbatim +*> AP is DOUBLE PRECISION array, dimension (N*(N+1)/2) +*> The upper or lower triangular matrix A, packed columnwise in +*> a linear array. The j-th column of A is stored in the array +*> AP as follows: +*> if UPLO = 'U', AP(i + (j-1)*j/2) = A(i,j) for 1<=i<=j; +*> if UPLO = 'L', AP(i + (j-1)*(2n-j)/2) = A(i,j) for j<=i<=n. +*> \endverbatim +*> +*> \param[in,out] X +*> \verbatim +*> X is DOUBLE PRECISION array, dimension (N) +*> On entry, the right hand side b of the triangular system. +*> On exit, X is overwritten by the solution vector x. +*> \endverbatim +*> +*> \param[out] SCALE +*> \verbatim +*> SCALE is DOUBLE PRECISION +*> The scaling factor s for the triangular system +*> A * x = s*b or A**T* x = s*b. +*> If SCALE = 0, the matrix A is singular or badly scaled, and +*> the vector x is an exact or approximate solution to A*x = 0. +*> \endverbatim +*> +*> \param[in,out] CNORM +*> \verbatim +*> CNORM is or output) DOUBLE PRECISION array, dimension (N) +*> +*> If NORMIN = 'Y', CNORM is an input argument and CNORM(j) +*> contains the norm of the off-diagonal part of the j-th column +*> of A. If TRANS = 'N', CNORM(j) must be greater than or equal +*> to the infinity-norm, and if TRANS = 'T' or 'C', CNORM(j) +*> must be greater than or equal to the 1-norm. +*> +*> If NORMIN = 'N', CNORM is an output argument and CNORM(j) +*> returns the 1-norm of the offdiagonal part of the j-th column +*> of A. +*> \endverbatim +*> +*> \param[out] INFO +*> \verbatim +*> INFO is INTEGER +*> = 0: successful exit +*> < 0: if INFO = -k, the k-th argument had an illegal value +*> \endverbatim +* +* Authors: +* ======== +* +*> \author Univ. of Tennessee +*> \author Univ. of California Berkeley +*> \author Univ. of Colorado Denver +*> \author NAG Ltd. +* +*> \date November 2011 +* +*> \ingroup doubleOTHERauxiliary +* +*> \par Further Details: +* ===================== +*> +*> \verbatim +*> +*> A rough bound on x is computed; if that is less than overflow, DTPSV +*> is called, otherwise, specific code is used which checks for possible +*> overflow or divide-by-zero at every operation. +*> +*> A columnwise scheme is used for solving A*x = b. The basic algorithm +*> if A is lower triangular is +*> +*> x[1:n] := b[1:n] +*> for j = 1, ..., n +*> x(j) := x(j) / A(j,j) +*> x[j+1:n] := x[j+1:n] - x(j) * A[j+1:n,j] +*> end +*> +*> Define bounds on the components of x after j iterations of the loop: +*> M(j) = bound on x[1:j] +*> G(j) = bound on x[j+1:n] +*> Initially, let M(0) = 0 and G(0) = max{x(i), i=1,...,n}. +*> +*> Then for iteration j+1 we have +*> M(j+1) <= G(j) / | A(j+1,j+1) | +*> G(j+1) <= G(j) + M(j+1) * | A[j+2:n,j+1] | +*> <= G(j) ( 1 + CNORM(j+1) / | A(j+1,j+1) | ) +*> +*> where CNORM(j+1) is greater than or equal to the infinity-norm of +*> column j+1 of A, not counting the diagonal. Hence +*> +*> G(j) <= G(0) product ( 1 + CNORM(i) / | A(i,i) | ) +*> 1<=i<=j +*> and +*> +*> |x(j)| <= ( G(0) / |A(j,j)| ) product ( 1 + CNORM(i) / |A(i,i)| ) +*> 1<=i< j +*> +*> Since |x(j)| <= M(j), we use the Level 2 BLAS routine DTPSV if the +*> reciprocal of the largest M(j), j=1,..,n, is larger than +*> max(underflow, 1/overflow). +*> +*> The bound on x(j) is also used to determine when a step in the +*> columnwise method can be performed without fear of overflow. If +*> the computed bound is greater than a large constant, x is scaled to +*> prevent overflow, but if the bound overflows, x is set to 0, x(j) to +*> 1, and scale to 0, and a non-trivial solution to A*x = 0 is found. +*> +*> Similarly, a row-wise scheme is used to solve A**T*x = b. The basic +*> algorithm for A upper triangular is +*> +*> for j = 1, ..., n +*> x(j) := ( b(j) - A[1:j-1,j]**T * x[1:j-1] ) / A(j,j) +*> end +*> +*> We simultaneously compute two bounds +*> G(j) = bound on ( b(i) - A[1:i-1,i]**T * x[1:i-1] ), 1<=i<=j +*> M(j) = bound on x(i), 1<=i<=j +*> +*> The initial values are G(0) = 0, M(0) = max{b(i), i=1,..,n}, and we +*> add the constraint G(j) >= G(j-1) and M(j) >= M(j-1) for j >= 1. +*> Then the bound on x(j) is +*> +*> M(j) <= M(j-1) * ( 1 + CNORM(j) ) / | A(j,j) | +*> +*> <= M(0) * product ( ( 1 + CNORM(i) ) / |A(i,i)| ) +*> 1<=i<=j +*> +*> and we can safely call DTPSV if 1/M(n) and 1/G(n) are both greater +*> than max(underflow, 1/overflow). +*> \endverbatim +*> +* ===================================================================== SUBROUTINE DLATPS( UPLO, TRANS, DIAG, NORMIN, N, AP, X, SCALE, $ CNORM, INFO ) * -* -- LAPACK auxiliary routine (version 3.2) -- +* -- LAPACK auxiliary routine (version 3.4.0) -- * -- LAPACK is a software package provided by Univ. of Tennessee, -- * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- -* November 2006 +* November 2011 * * .. Scalar Arguments .. CHARACTER DIAG, NORMIN, TRANS, UPLO @@ -15,152 +243,6 @@ DOUBLE PRECISION AP( * ), CNORM( * ), X( * ) * .. * -* Purpose -* ======= -* -* DLATPS solves one of the triangular systems -* -* A *x = s*b or A**T*x = s*b -* -* with scaling to prevent overflow, where A is an upper or lower -* triangular matrix stored in packed form. Here A**T denotes the -* transpose of A, x and b are n-element vectors, and s is a scaling -* factor, usually less than or equal to 1, chosen so that the -* components of x will be less than the overflow threshold. If the -* unscaled problem will not cause overflow, the Level 2 BLAS routine -* DTPSV is called. If the matrix A is singular (A(j,j) = 0 for some j), -* then s is set to 0 and a non-trivial solution to A*x = 0 is returned. -* -* Arguments -* ========= -* -* UPLO (input) CHARACTER*1 -* Specifies whether the matrix A is upper or lower triangular. -* = 'U': Upper triangular -* = 'L': Lower triangular -* -* TRANS (input) CHARACTER*1 -* Specifies the operation applied to A. -* = 'N': Solve A * x = s*b (No transpose) -* = 'T': Solve A**T* x = s*b (Transpose) -* = 'C': Solve A**T* x = s*b (Conjugate transpose = Transpose) -* -* DIAG (input) CHARACTER*1 -* Specifies whether or not the matrix A is unit triangular. -* = 'N': Non-unit triangular -* = 'U': Unit triangular -* -* NORMIN (input) CHARACTER*1 -* Specifies whether CNORM has been set or not. -* = 'Y': CNORM contains the column norms on entry -* = 'N': CNORM is not set on entry. On exit, the norms will -* be computed and stored in CNORM. -* -* N (input) INTEGER -* The order of the matrix A. N >= 0. -* -* AP (input) DOUBLE PRECISION array, dimension (N*(N+1)/2) -* The upper or lower triangular matrix A, packed columnwise in -* a linear array. The j-th column of A is stored in the array -* AP as follows: -* if UPLO = 'U', AP(i + (j-1)*j/2) = A(i,j) for 1<=i<=j; -* if UPLO = 'L', AP(i + (j-1)*(2n-j)/2) = A(i,j) for j<=i<=n. -* -* X (input/output) DOUBLE PRECISION array, dimension (N) -* On entry, the right hand side b of the triangular system. -* On exit, X is overwritten by the solution vector x. -* -* SCALE (output) DOUBLE PRECISION -* The scaling factor s for the triangular system -* A * x = s*b or A**T* x = s*b. -* If SCALE = 0, the matrix A is singular or badly scaled, and -* the vector x is an exact or approximate solution to A*x = 0. -* -* CNORM (input or output) DOUBLE PRECISION array, dimension (N) -* -* If NORMIN = 'Y', CNORM is an input argument and CNORM(j) -* contains the norm of the off-diagonal part of the j-th column -* of A. If TRANS = 'N', CNORM(j) must be greater than or equal -* to the infinity-norm, and if TRANS = 'T' or 'C', CNORM(j) -* must be greater than or equal to the 1-norm. -* -* If NORMIN = 'N', CNORM is an output argument and CNORM(j) -* returns the 1-norm of the offdiagonal part of the j-th column -* of A. -* -* INFO (output) INTEGER -* = 0: successful exit -* < 0: if INFO = -k, the k-th argument had an illegal value -* -* Further Details -* ======= ======= -* -* A rough bound on x is computed; if that is less than overflow, DTPSV -* is called, otherwise, specific code is used which checks for possible -* overflow or divide-by-zero at every operation. -* -* A columnwise scheme is used for solving A*x = b. The basic algorithm -* if A is lower triangular is -* -* x[1:n] := b[1:n] -* for j = 1, ..., n -* x(j) := x(j) / A(j,j) -* x[j+1:n] := x[j+1:n] - x(j) * A[j+1:n,j] -* end -* -* Define bounds on the components of x after j iterations of the loop: -* M(j) = bound on x[1:j] -* G(j) = bound on x[j+1:n] -* Initially, let M(0) = 0 and G(0) = max{x(i), i=1,...,n}. -* -* Then for iteration j+1 we have -* M(j+1) <= G(j) / | A(j+1,j+1) | -* G(j+1) <= G(j) + M(j+1) * | A[j+2:n,j+1] | -* <= G(j) ( 1 + CNORM(j+1) / | A(j+1,j+1) | ) -* -* where CNORM(j+1) is greater than or equal to the infinity-norm of -* column j+1 of A, not counting the diagonal. Hence -* -* G(j) <= G(0) product ( 1 + CNORM(i) / | A(i,i) | ) -* 1<=i<=j -* and -* -* |x(j)| <= ( G(0) / |A(j,j)| ) product ( 1 + CNORM(i) / |A(i,i)| ) -* 1<=i< j -* -* Since |x(j)| <= M(j), we use the Level 2 BLAS routine DTPSV if the -* reciprocal of the largest M(j), j=1,..,n, is larger than -* max(underflow, 1/overflow). -* -* The bound on x(j) is also used to determine when a step in the -* columnwise method can be performed without fear of overflow. If -* the computed bound is greater than a large constant, x is scaled to -* prevent overflow, but if the bound overflows, x is set to 0, x(j) to -* 1, and scale to 0, and a non-trivial solution to A*x = 0 is found. -* -* Similarly, a row-wise scheme is used to solve A**T*x = b. The basic -* algorithm for A upper triangular is -* -* for j = 1, ..., n -* x(j) := ( b(j) - A[1:j-1,j]**T * x[1:j-1] ) / A(j,j) -* end -* -* We simultaneously compute two bounds -* G(j) = bound on ( b(i) - A[1:i-1,i]**T * x[1:i-1] ), 1<=i<=j -* M(j) = bound on x(i), 1<=i<=j -* -* The initial values are G(0) = 0, M(0) = max{b(i), i=1,..,n}, and we -* add the constraint G(j) >= G(j-1) and M(j) >= M(j-1) for j >= 1. -* Then the bound on x(j) is -* -* M(j) <= M(j-1) * ( 1 + CNORM(j) ) / | A(j,j) | -* -* <= M(0) * product ( ( 1 + CNORM(i) ) / |A(i,i)| ) -* 1<=i<=j -* -* and we can safely call DTPSV if 1/M(n) and 1/G(n) are both greater -* than max(underflow, 1/overflow). -* * ===================================================================== * * .. Parameters ..