Diff for /rpl/lapack/lapack/dlatdf.f between versions 1.18 and 1.21

version 1.18, 2017/06/17 11:06:28 version 1.21, 2023/08/07 08:39:00
Line 85 Line 85
 *>          RHS is DOUBLE PRECISION array, dimension (N)  *>          RHS is DOUBLE PRECISION array, dimension (N)
 *>          On entry, RHS contains contributions from other subsystems.  *>          On entry, RHS contains contributions from other subsystems.
 *>          On exit, RHS contains the solution of the subsystem with  *>          On exit, RHS contains the solution of the subsystem with
 *>          entries acoording to the value of IJOB (see above).  *>          entries according to the value of IJOB (see above).
 *> \endverbatim  *> \endverbatim
 *>  *>
 *> \param[in,out] RDSUM  *> \param[in,out] RDSUM
Line 133 Line 133
 *> \author Univ. of Colorado Denver  *> \author Univ. of Colorado Denver
 *> \author NAG Ltd.  *> \author NAG Ltd.
 *  *
 *> \date June 2016  
 *  
 *> \ingroup doubleOTHERauxiliary  *> \ingroup doubleOTHERauxiliary
 *  *
 *> \par Further Details:  *> \par Further Details:
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       SUBROUTINE DLATDF( IJOB, N, Z, LDZ, RHS, RDSUM, RDSCAL, IPIV,        SUBROUTINE DLATDF( IJOB, N, Z, LDZ, RHS, RDSUM, RDSCAL, IPIV,
      $                   JPIV )       $                   JPIV )
 *  *
 *  -- LAPACK auxiliary routine (version 3.7.0) --  *  -- LAPACK auxiliary routine --
 *  -- LAPACK is a software package provided by Univ. of Tennessee,    --  *  -- LAPACK is a software package provided by Univ. of Tennessee,    --
 *  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--  *  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
 *     June 2016  
 *  *
 *     .. Scalar Arguments ..  *     .. Scalar Arguments ..
       INTEGER            IJOB, LDZ, N        INTEGER            IJOB, LDZ, N
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 *  *
 *        Solve for U-part, look-ahead for RHS(N) = +-1. This is not done  *        Solve for U-part, look-ahead for RHS(N) = +-1. This is not done
 *        in BSOLVE and will hopefully give us a better estimate because  *        in BSOLVE and will hopefully give us a better estimate because
 *        any ill-conditioning of the original matrix is transfered to U  *        any ill-conditioning of the original matrix is transferred to U
 *        and not to L. U(N, N) is an approximation to sigma_min(LU).  *        and not to L. U(N, N) is an approximation to sigma_min(LU).
 *  *
          CALL DCOPY( N-1, RHS, 1, XP, 1 )           CALL DCOPY( N-1, RHS, 1, XP, 1 )

Removed from v.1.18  
changed lines
  Added in v.1.21


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