Chimie Théorique » Opt'n Path

      SUBROUTINE DLAQPS( M, N, OFFSET, NB, KB, A, LDA, JPVT, TAU, VN1,

     $                   VN2, AUXV, F, LDF )

*

*  -- LAPACK auxiliary routine (version 3.2.2) --

*  -- LAPACK is a software package provided by Univ. of Tennessee,    --

*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--

*     June 2010

*

*     .. Scalar Arguments ..

      INTEGER            KB, LDA, LDF, M, N, NB, OFFSET

*     ..

*     .. Array Arguments ..

      INTEGER            JPVT( * )

      DOUBLE PRECISION   A( LDA, * ), AUXV( * ), F( LDF, * ), TAU( * ),

     $                   VN1( * ), VN2( * )

*     ..

*

*  Purpose

*  =======

*

*  DLAQPS computes a step of QR factorization with column pivoting

*  of a real M-by-N matrix A by using Blas-3.  It tries to factorize

*  NB columns from A starting from the row OFFSET+1, and updates all

*  of the matrix with Blas-3 xGEMM.

*

*  In some cases, due to catastrophic cancellations, it cannot

*  factorize NB columns.  Hence, the actual number of factorized

*  columns is returned in KB.

*

*  Block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.

*

*  Arguments

*  =========

*

*  M       (input) INTEGER

*          The number of rows of the matrix A. M >= 0.

*

*  N       (input) INTEGER

*          The number of columns of the matrix A. N >= 0

*

*  OFFSET  (input) INTEGER

*          The number of rows of A that have been factorized in

*          previous steps.

*

*  NB      (input) INTEGER

*          The number of columns to factorize.

*

*  KB      (output) INTEGER

*          The number of columns actually factorized.

*

*  A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)

*          On entry, the M-by-N matrix A.

*          On exit, block A(OFFSET+1:M,1:KB) is the triangular

*          factor obtained and block A(1:OFFSET,1:N) has been

*          accordingly pivoted, but no factorized.

*          The rest of the matrix, block A(OFFSET+1:M,KB+1:N) has

*          been updated.

*

*  LDA     (input) INTEGER

*          The leading dimension of the array A. LDA >= max(1,M).

*

*  JPVT    (input/output) INTEGER array, dimension (N)

*          JPVT(I) = K <==> Column K of the full matrix A has been

*          permuted into position I in AP.

*

*  TAU     (output) DOUBLE PRECISION array, dimension (KB)

*          The scalar factors of the elementary reflectors.

*

*  VN1     (input/output) DOUBLE PRECISION array, dimension (N)

*          The vector with the partial column norms.

*

*  VN2     (input/output) DOUBLE PRECISION array, dimension (N)

*          The vector with the exact column norms.

*

*  AUXV    (input/output) DOUBLE PRECISION array, dimension (NB)

*          Auxiliar vector.

*

*  F       (input/output) DOUBLE PRECISION array, dimension (LDF,NB)

*          Matrix F' = L*Y'*A.

*

*  LDF     (input) INTEGER

*          The leading dimension of the array F. LDF >= max(1,N).

*

*  Further Details

*  ===============

*

*  Based on contributions by

*    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain

*    X. Sun, Computer Science Dept., Duke University, USA

*

*  Partial column norm updating strategy modified by

*    Z. Drmac and Z. Bujanovic, Dept. of Mathematics,

*    University of Zagreb, Croatia.

*     June 2010

*  For more details see LAPACK Working Note 176.

*  =====================================================================

*

*     .. Parameters ..

      DOUBLE PRECISION   ZERO, ONE

      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )

*     ..

*     .. Local Scalars ..

      INTEGER            ITEMP, J, K, LASTRK, LSTICC, PVT, RK

      DOUBLE PRECISION   AKK, TEMP, TEMP2, TOL3Z

*     ..

*     .. External Subroutines ..

      EXTERNAL           DGEMM, DGEMV, DLARFG, DSWAP

*     ..

*     .. Intrinsic Functions ..

      INTRINSIC          ABS, DBLE, MAX, MIN, NINT, SQRT

*     ..

*     .. External Functions ..

      INTEGER            IDAMAX

      DOUBLE PRECISION   DLAMCH, DNRM2

      EXTERNAL           IDAMAX, DLAMCH, DNRM2

*     ..

*     .. Executable Statements ..

*

      LASTRK = MIN( M, N+OFFSET )

      LSTICC = 0

      K = 0

      TOL3Z = SQRT(DLAMCH('Epsilon'))

*

*     Beginning of while loop.

*

   10 CONTINUE

      IF( ( K.LT.NB ) .AND. ( LSTICC.EQ.0 ) ) THEN

         K = K + 1

         RK = OFFSET + K

*

*        Determine ith pivot column and swap if necessary

*

         PVT = ( K-1 ) + IDAMAX( N-K+1, VN1( K ), 1 )

         IF( PVT.NE.K ) THEN

            CALL DSWAP( M, A( 1, PVT ), 1, A( 1, K ), 1 )

            CALL DSWAP( K-1, F( PVT, 1 ), LDF, F( K, 1 ), LDF )

            ITEMP = JPVT( PVT )

            JPVT( PVT ) = JPVT( K )

            JPVT( K ) = ITEMP

            VN1( PVT ) = VN1( K )

            VN2( PVT ) = VN2( K )

         END IF

*

*        Apply previous Householder reflectors to column K:

*        A(RK:M,K) := A(RK:M,K) - A(RK:M,1:K-1)*F(K,1:K-1)'.

*

         IF( K.GT.1 ) THEN

            CALL DGEMV( 'No transpose', M-RK+1, K-1, -ONE, A( RK, 1 ),

     $                  LDA, F( K, 1 ), LDF, ONE, A( RK, K ), 1 )

         END IF

*

*        Generate elementary reflector H(k).

*

         IF( RK.LT.M ) THEN

            CALL DLARFG( M-RK+1, A( RK, K ), A( RK+1, K ), 1, TAU( K ) )

         ELSE

            CALL DLARFG( 1, A( RK, K ), A( RK, K ), 1, TAU( K ) )

         END IF

*

         AKK = A( RK, K )

         A( RK, K ) = ONE

*

*        Compute Kth column of F:

*

*        Compute  F(K+1:N,K) := tau(K)*A(RK:M,K+1:N)'*A(RK:M,K).

*

         IF( K.LT.N ) THEN

            CALL DGEMV( 'Transpose', M-RK+1, N-K, TAU( K ),

     $                  A( RK, K+1 ), LDA, A( RK, K ), 1, ZERO,

     $                  F( K+1, K ), 1 )

         END IF

*

*        Padding F(1:K,K) with zeros.

*

         DO 20 J = 1, K

            F( J, K ) = ZERO

   20    CONTINUE

*

*        Incremental updating of F:

*        F(1:N,K) := F(1:N,K) - tau(K)*F(1:N,1:K-1)*A(RK:M,1:K-1)'

*                    *A(RK:M,K).

*

         IF( K.GT.1 ) THEN

            CALL DGEMV( 'Transpose', M-RK+1, K-1, -TAU( K ), A( RK, 1 ),

     $                  LDA, A( RK, K ), 1, ZERO, AUXV( 1 ), 1 )

*

            CALL DGEMV( 'No transpose', N, K-1, ONE, F( 1, 1 ), LDF,

     $                  AUXV( 1 ), 1, ONE, F( 1, K ), 1 )

         END IF

*

*        Update the current row of A:

*        A(RK,K+1:N) := A(RK,K+1:N) - A(RK,1:K)*F(K+1:N,1:K)'.

*

         IF( K.LT.N ) THEN

            CALL DGEMV( 'No transpose', N-K, K, -ONE, F( K+1, 1 ), LDF,

     $                  A( RK, 1 ), LDA, ONE, A( RK, K+1 ), LDA )

         END IF

*

*        Update partial column norms.

*

         IF( RK.LT.LASTRK ) THEN

            DO 30 J = K + 1, N

               IF( VN1( J ).NE.ZERO ) THEN

*

*                 NOTE: The following 4 lines follow from the analysis in

*                 Lapack Working Note 176.

*

                  TEMP = ABS( A( RK, J ) ) / VN1( J )

                  TEMP = MAX( ZERO, ( ONE+TEMP )*( ONE-TEMP ) )

                  TEMP2 = TEMP*( VN1( J ) / VN2( J ) )**2

                  IF( TEMP2 .LE. TOL3Z ) THEN

                     VN2( J ) = DBLE( LSTICC )

                     LSTICC = J

                  ELSE

                     VN1( J ) = VN1( J )*SQRT( TEMP )

                  END IF

               END IF

   30       CONTINUE

         END IF

*

         A( RK, K ) = AKK

*

*        End of while loop.

*

         GO TO 10

      END IF

      KB = K

      RK = OFFSET + KB

*

*     Apply the block reflector to the rest of the matrix:

*     A(OFFSET+KB+1:M,KB+1:N) := A(OFFSET+KB+1:M,KB+1:N) -

*                         A(OFFSET+KB+1:M,1:KB)*F(KB+1:N,1:KB)'.

*

      IF( KB.LT.MIN( N, M-OFFSET ) ) THEN

         CALL DGEMM( 'No transpose', 'Transpose', M-RK, N-KB, KB, -ONE,

     $               A( RK+1, 1 ), LDA, F( KB+1, 1 ), LDF, ONE,

     $               A( RK+1, KB+1 ), LDA )

      END IF

*

*     Recomputation of difficult columns.

*

   40 CONTINUE

      IF( LSTICC.GT.0 ) THEN

         ITEMP = NINT( VN2( LSTICC ) )

         VN1( LSTICC ) = DNRM2( M-RK, A( RK+1, LSTICC ), 1 )

*

*        NOTE: The computation of VN1( LSTICC ) relies on the fact that

*        SNRM2 does not fail on vectors with norm below the value of

*        SQRT(DLAMCH('S'))

*

         VN2( LSTICC ) = VN1( LSTICC )

         LSTICC = ITEMP

         GO TO 40

      END IF

*

      RETURN

*

*     End of DLAQPS

*

      END