Chimie Théorique » Opt'n Path

      SUBROUTINE DLAQP2( M, N, OFFSET, A, LDA, JPVT, TAU, VN1, VN2,

     $                   WORK )

*

*  -- 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            LDA, M, N, OFFSET

*     ..

*     .. Array Arguments ..

      INTEGER            JPVT( * )

      DOUBLE PRECISION   A( LDA, * ), TAU( * ), VN1( * ), VN2( * ),

     $                   WORK( * )

*     ..

*

*  Purpose

*  =======

*

*  DLAQP2 computes a QR factorization with column pivoting of

*  the block A(OFFSET+1:M,1:N).

*  The 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 the matrix A that must be pivoted

*          but no factorized. OFFSET >= 0.

*

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

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

*          On exit, the upper triangle of block A(OFFSET+1:M,1:N) is

*          the triangular factor obtained; the elements in block

*          A(OFFSET+1:M,1:N) below the diagonal, together with the

*          array TAU, represent the orthogonal matrix Q as a product of

*          elementary reflectors. Block A(1:OFFSET,1:N) has been

*          accordingly pivoted, but no factorized.

*

*  LDA     (input) INTEGER

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

*

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

*          On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted

*          to the front of A*P (a leading column); if JPVT(i) = 0,

*          the i-th column of A is a free column.

*          On exit, if JPVT(i) = k, then the i-th column of A*P

*          was the k-th column of A.

*

*  TAU     (output) DOUBLE PRECISION array, dimension (min(M,N))

*          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.

*

*  WORK    (workspace) DOUBLE PRECISION array, dimension (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            I, ITEMP, J, MN, OFFPI, PVT

      DOUBLE PRECISION   AII, TEMP, TEMP2, TOL3Z

*     ..

*     .. External Subroutines ..

      EXTERNAL           DLARF, DLARFG, DSWAP

*     ..

*     .. Intrinsic Functions ..

      INTRINSIC          ABS, MAX, MIN, SQRT

*     ..

*     .. External Functions ..

      INTEGER            IDAMAX

      DOUBLE PRECISION   DLAMCH, DNRM2

      EXTERNAL           IDAMAX, DLAMCH, DNRM2

*     ..

*     .. Executable Statements ..

*

      MN = MIN( M-OFFSET, N )

      TOL3Z = SQRT(DLAMCH('Epsilon'))

*

*     Compute factorization.

*

      DO 20 I = 1, MN

*

         OFFPI = OFFSET + I

*

*        Determine ith pivot column and swap if necessary.

*

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

*

         IF( PVT.NE.I ) THEN

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

            ITEMP = JPVT( PVT )

            JPVT( PVT ) = JPVT( I )

            JPVT( I ) = ITEMP

            VN1( PVT ) = VN1( I )

            VN2( PVT ) = VN2( I )

         END IF

*

*        Generate elementary reflector H(i).

*

         IF( OFFPI.LT.M ) THEN

            CALL DLARFG( M-OFFPI+1, A( OFFPI, I ), A( OFFPI+1, I ), 1,

     $                   TAU( I ) )

         ELSE

            CALL DLARFG( 1, A( M, I ), A( M, I ), 1, TAU( I ) )

         END IF

*

         IF( I.LE.N ) THEN

*

*           Apply H(i)' to A(offset+i:m,i+1:n) from the left.

*

            AII = A( OFFPI, I )

            A( OFFPI, I ) = ONE

            CALL DLARF( 'Left', M-OFFPI+1, N-I, A( OFFPI, I ), 1,

     $                  TAU( I ), A( OFFPI, I+1 ), LDA, WORK( 1 ) )

            A( OFFPI, I ) = AII

         END IF

*

*        Update partial column norms.

*

         DO 10 J = I + 1, N

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

*

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

*              Lapack Working Note 176.

*

               TEMP = ONE - ( ABS( A( OFFPI, J ) ) / VN1( J ) )**2

               TEMP = MAX( TEMP, ZERO )

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

               IF( TEMP2 .LE. TOL3Z ) THEN

                  IF( OFFPI.LT.M ) THEN

                     VN1( J ) = DNRM2( M-OFFPI, A( OFFPI+1, J ), 1 )

                     VN2( J ) = VN1( J )

                  ELSE

                     VN1( J ) = ZERO

                     VN2( J ) = ZERO

                  END IF

               ELSE

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

               END IF

            END IF

   10    CONTINUE

*

   20 CONTINUE

*

      RETURN

*

*     End of DLAQP2

*

      END