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+*> \brief \b DLATRS
+*
+*  =========== DOCUMENTATION ===========
+*
+* Online html documentation available at 
+*            http://www.netlib.org/lapack/explore-html/ 
+*
+*  Definition
+*  ==========
+*
+*       SUBROUTINE DLATRS( UPLO, TRANS, DIAG, NORMIN, N, A, LDA, X, SCALE,
+*                          CNORM, INFO )
+* 
+*       .. Scalar Arguments ..
+*       CHARACTER          DIAG, NORMIN, TRANS, UPLO
+*       INTEGER            INFO, LDA, N
+*       DOUBLE PRECISION   SCALE
+*       ..
+*       .. Array Arguments ..
+*       DOUBLE PRECISION   A( LDA, * ), CNORM( * ), X( * )
+*       ..
+*  
+*  Purpose
+*  =======
+*
+*>\details \b Purpose:
+*>\verbatim
+*>
+*> DLATRS solves one of the triangular systems
+*>
+*>    A *x = s*b  or  A**T *x = s*b
+*>
+*> with scaling to prevent overflow.  Here A is an upper or lower
+*> triangular matrix, 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 DTRSV 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] A
+*> \verbatim
+*>          A is DOUBLE PRECISION array, dimension (LDA,N)
+*>          The triangular matrix A.  If UPLO = 'U', the leading n by n
+*>          upper triangular part of the array A contains the upper
+*>          triangular matrix, and the strictly lower triangular part of
+*>          A is not referenced.  If UPLO = 'L', the leading n by n lower
+*>          triangular part of the array A contains the lower triangular
+*>          matrix, and the strictly upper triangular part of A is not
+*>          referenced.  If DIAG = 'U', the diagonal elements of A are
+*>          also not referenced and are assumed to be 1.
+*> \endverbatim
+*>
+*> \param[in] LDA
+*> \verbatim
+*>          LDA is INTEGER
+*>          The leading dimension of the array A.  LDA >= max (1,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)
+*> \endverbatim
+*> \verbatim
+*>          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.
+*> \endverbatim
+*> \verbatim
+*>          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
+*
+*
+*  Further Details
+*  ===============
+*>\details \b Further \b Details
+*> \verbatim
+*>
+*>  A rough bound on x is computed; if that is less than overflow, DTRSV
+*>  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 DTRSV 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 DTRSV if 1/M(n) and 1/G(n) are both greater
+*>  than max(underflow, 1/overflow).
+*>
+*> \endverbatim
+*>
+*  =====================================================================
       SUBROUTINE DLATRS( UPLO, TRANS, DIAG, NORMIN, N, A, LDA, X, SCALE,
      $                   CNORM, INFO )
 *
 *  -- LAPACK auxiliary routine (version 3.2) --
 *  -- 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
@@ -15,158 +248,6 @@
       DOUBLE PRECISION   A( LDA, * ), CNORM( * ), X( * )
 *     ..
 *
-*  Purpose
-*  =======
-*
-*  DLATRS solves one of the triangular systems
-*
-*     A *x = s*b  or  A**T *x = s*b
-*
-*  with scaling to prevent overflow.  Here A is an upper or lower
-*  triangular matrix, 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 DTRSV 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.
-*
-*  A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-*          The triangular matrix A.  If UPLO = 'U', the leading n by n
-*          upper triangular part of the array A contains the upper
-*          triangular matrix, and the strictly lower triangular part of
-*          A is not referenced.  If UPLO = 'L', the leading n by n lower
-*          triangular part of the array A contains the lower triangular
-*          matrix, and the strictly upper triangular part of A is not
-*          referenced.  If DIAG = 'U', the diagonal elements of A are
-*          also not referenced and are assumed to be 1.
-*
-*  LDA     (input) INTEGER
-*          The leading dimension of the array A.  LDA >= max (1,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, DTRSV
-*  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 DTRSV 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 DTRSV if 1/M(n) and 1/G(n) are both greater
-*  than max(underflow, 1/overflow).
-*
 *  =====================================================================
 *
 *     .. Parameters ..