Those are just cosmetic changes to update version number and various other minor change.
161 lines
4.6 KiB
FortranFixed
161 lines
4.6 KiB
FortranFixed
SUBROUTINE DGETRF( M, N, A, LDA, IPIV, INFO )
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*
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* -- LAPACK routine (version 3.2) --
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* -- LAPACK is a software package provided by Univ. of Tennessee, --
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* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
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* November 2006
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*
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* .. Scalar Arguments ..
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INTEGER INFO, LDA, M, N
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* ..
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* .. Array Arguments ..
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INTEGER IPIV( * )
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DOUBLE PRECISION A( LDA, * )
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* ..
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*
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* Purpose
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* =======
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*
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* DGETRF computes an LU factorization of a general M-by-N matrix A
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* using partial pivoting with row interchanges.
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*
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* The factorization has the form
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* A = P * L * U
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* where P is a permutation matrix, L is lower triangular with unit
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* diagonal elements (lower trapezoidal if m > n), and U is upper
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* triangular (upper trapezoidal if m < n).
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*
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* This is the right-looking Level 3 BLAS version of the algorithm.
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*
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* Arguments
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* =========
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*
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* M (input) INTEGER
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* The number of rows of the matrix A. M >= 0.
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*
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* N (input) INTEGER
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* The number of columns of the matrix A. N >= 0.
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*
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* A (input/output) DOUBLE PRECISION array, dimension (LDA,N)
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* On entry, the M-by-N matrix to be factored.
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* On exit, the factors L and U from the factorization
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* A = P*L*U; the unit diagonal elements of L are not stored.
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*
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* LDA (input) INTEGER
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* The leading dimension of the array A. LDA >= max(1,M).
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*
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* IPIV (output) INTEGER array, dimension (min(M,N))
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* The pivot indices; for 1 <= i <= min(M,N), row i of the
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* matrix was interchanged with row IPIV(i).
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*
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* INFO (output) INTEGER
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* = 0: successful exit
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* < 0: if INFO = -i, the i-th argument had an illegal value
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* > 0: if INFO = i, U(i,i) is exactly zero. The factorization
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* has been completed, but the factor U is exactly
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* singular, and division by zero will occur if it is used
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* to solve a system of equations.
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*
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* =====================================================================
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*
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* .. Parameters ..
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DOUBLE PRECISION ONE
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PARAMETER ( ONE = 1.0D+0 )
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* ..
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* .. Local Scalars ..
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INTEGER I, IINFO, J, JB, NB
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* ..
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* .. External Subroutines ..
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EXTERNAL DGEMM, DGETF2, DLASWP, DTRSM, XERBLA
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* ..
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* .. External Functions ..
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INTEGER ILAENV
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EXTERNAL ILAENV
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* ..
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* .. Intrinsic Functions ..
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INTRINSIC MAX, MIN
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* ..
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* .. Executable Statements ..
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*
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* Test the input parameters.
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*
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INFO = 0
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IF( M.LT.0 ) THEN
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INFO = -1
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ELSE IF( N.LT.0 ) THEN
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INFO = -2
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ELSE IF( LDA.LT.MAX( 1, M ) ) THEN
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INFO = -4
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END IF
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IF( INFO.NE.0 ) THEN
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CALL XERBLA( 'DGETRF', -INFO )
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RETURN
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END IF
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*
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* Quick return if possible
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*
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IF( M.EQ.0 .OR. N.EQ.0 )
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$ RETURN
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*
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* Determine the block size for this environment.
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*
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NB = ILAENV( 1, 'DGETRF', ' ', M, N, -1, -1 )
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IF( NB.LE.1 .OR. NB.GE.MIN( M, N ) ) THEN
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*
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* Use unblocked code.
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*
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CALL DGETF2( M, N, A, LDA, IPIV, INFO )
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ELSE
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*
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* Use blocked code.
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*
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DO 20 J = 1, MIN( M, N ), NB
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JB = MIN( MIN( M, N )-J+1, NB )
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*
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* Factor diagonal and subdiagonal blocks and test for exact
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* singularity.
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*
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CALL DGETF2( M-J+1, JB, A( J, J ), LDA, IPIV( J ), IINFO )
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*
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* Adjust INFO and the pivot indices.
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*
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IF( INFO.EQ.0 .AND. IINFO.GT.0 )
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$ INFO = IINFO + J - 1
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DO 10 I = J, MIN( M, J+JB-1 )
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IPIV( I ) = J - 1 + IPIV( I )
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10 CONTINUE
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*
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* Apply interchanges to columns 1:J-1.
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*
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CALL DLASWP( J-1, A, LDA, J, J+JB-1, IPIV, 1 )
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*
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IF( J+JB.LE.N ) THEN
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*
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* Apply interchanges to columns J+JB:N.
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*
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CALL DLASWP( N-J-JB+1, A( 1, J+JB ), LDA, J, J+JB-1,
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$ IPIV, 1 )
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*
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* Compute block row of U.
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*
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CALL DTRSM( 'Left', 'Lower', 'No transpose', 'Unit', JB,
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$ N-J-JB+1, ONE, A( J, J ), LDA, A( J, J+JB ),
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$ LDA )
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IF( J+JB.LE.M ) THEN
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*
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* Update trailing submatrix.
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*
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CALL DGEMM( 'No transpose', 'No transpose', M-J-JB+1,
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$ N-J-JB+1, JB, -ONE, A( J+JB, J ), LDA,
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$ A( J, J+JB ), LDA, ONE, A( J+JB, J+JB ),
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$ LDA )
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END IF
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END IF
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20 CONTINUE
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END IF
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RETURN
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*
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* End of DGETRF
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*
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END
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