forked from lijiext/lammps
377 lines
11 KiB
Fortran
377 lines
11 KiB
Fortran
*> \brief \b DSYTRD
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*
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* =========== DOCUMENTATION ===========
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*
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* Online html documentation available at
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* http://www.netlib.org/lapack/explore-html/
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*
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*> \htmlonly
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*> Download DSYTRD + dependencies
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dsytrd.f">
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*> [TGZ]</a>
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dsytrd.f">
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*> [ZIP]</a>
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dsytrd.f">
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*> [TXT]</a>
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*> \endhtmlonly
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*
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* Definition:
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* ===========
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*
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* SUBROUTINE DSYTRD( UPLO, N, A, LDA, D, E, TAU, WORK, LWORK, INFO )
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*
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* .. Scalar Arguments ..
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* CHARACTER UPLO
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* INTEGER INFO, LDA, LWORK, N
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* ..
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* .. Array Arguments ..
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* DOUBLE PRECISION A( LDA, * ), D( * ), E( * ), TAU( * ),
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* $ WORK( * )
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* ..
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*
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*
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*> \par Purpose:
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* =============
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*>
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*> \verbatim
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*>
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*> DSYTRD reduces a real symmetric matrix A to real symmetric
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*> tridiagonal form T by an orthogonal similarity transformation:
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*> Q**T * A * Q = T.
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*> \endverbatim
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*
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* Arguments:
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* ==========
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*
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*> \param[in] UPLO
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*> \verbatim
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*> UPLO is CHARACTER*1
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*> = 'U': Upper triangle of A is stored;
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*> = 'L': Lower triangle of A is stored.
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*> \endverbatim
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*>
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*> \param[in] N
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*> \verbatim
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*> N is INTEGER
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*> The order of the matrix A. N >= 0.
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*> \endverbatim
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*>
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*> \param[in,out] A
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*> \verbatim
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*> A is DOUBLE PRECISION array, dimension (LDA,N)
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*> On entry, the symmetric matrix A. If UPLO = 'U', the leading
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*> N-by-N upper triangular part of A contains the upper
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*> triangular part of the matrix A, and the strictly lower
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*> triangular part of A is not referenced. If UPLO = 'L', the
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*> leading N-by-N lower triangular part of A contains the lower
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*> triangular part of the matrix A, and the strictly upper
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*> triangular part of A is not referenced.
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*> On exit, if UPLO = 'U', the diagonal and first superdiagonal
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*> of A are overwritten by the corresponding elements of the
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*> tridiagonal matrix T, and the elements above the first
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*> superdiagonal, with the array TAU, represent the orthogonal
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*> matrix Q as a product of elementary reflectors; if UPLO
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*> = 'L', the diagonal and first subdiagonal of A are over-
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*> written by the corresponding elements of the tridiagonal
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*> matrix T, and the elements below the first subdiagonal, with
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*> the array TAU, represent the orthogonal matrix Q as a product
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*> of elementary reflectors. See Further Details.
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*> \endverbatim
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*>
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*> \param[in] LDA
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*> \verbatim
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*> LDA is INTEGER
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*> The leading dimension of the array A. LDA >= max(1,N).
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*> \endverbatim
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*>
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*> \param[out] D
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*> \verbatim
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*> D is DOUBLE PRECISION array, dimension (N)
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*> The diagonal elements of the tridiagonal matrix T:
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*> D(i) = A(i,i).
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*> \endverbatim
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*>
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*> \param[out] E
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*> \verbatim
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*> E is DOUBLE PRECISION array, dimension (N-1)
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*> The off-diagonal elements of the tridiagonal matrix T:
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*> E(i) = A(i,i+1) if UPLO = 'U', E(i) = A(i+1,i) if UPLO = 'L'.
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*> \endverbatim
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*>
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*> \param[out] TAU
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*> \verbatim
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*> TAU is DOUBLE PRECISION array, dimension (N-1)
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*> The scalar factors of the elementary reflectors (see Further
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*> Details).
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*> \endverbatim
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*>
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*> \param[out] WORK
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*> \verbatim
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*> WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK))
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*> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
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*> \endverbatim
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*>
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*> \param[in] LWORK
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*> \verbatim
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*> LWORK is INTEGER
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*> The dimension of the array WORK. LWORK >= 1.
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*> For optimum performance LWORK >= N*NB, where NB is the
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*> optimal blocksize.
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*>
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*> If LWORK = -1, then a workspace query is assumed; the routine
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*> only calculates the optimal size of the WORK array, returns
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*> this value as the first entry of the WORK array, and no error
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*> message related to LWORK is issued by XERBLA.
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*> \endverbatim
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*>
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*> \param[out] INFO
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*> \verbatim
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*> INFO is 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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*> \endverbatim
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*
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* Authors:
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* ========
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*
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*> \author Univ. of Tennessee
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*> \author Univ. of California Berkeley
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*> \author Univ. of Colorado Denver
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*> \author NAG Ltd.
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*
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*> \date December 2016
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*
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*> \ingroup doubleSYcomputational
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*
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*> \par Further Details:
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* =====================
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*>
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*> \verbatim
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*>
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*> If UPLO = 'U', the matrix Q is represented as a product of elementary
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*> reflectors
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*>
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*> Q = H(n-1) . . . H(2) H(1).
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*>
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*> Each H(i) has the form
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*>
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*> H(i) = I - tau * v * v**T
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*>
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*> where tau is a real scalar, and v is a real vector with
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*> v(i+1:n) = 0 and v(i) = 1; v(1:i-1) is stored on exit in
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*> A(1:i-1,i+1), and tau in TAU(i).
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*>
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*> If UPLO = 'L', the matrix Q is represented as a product of elementary
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*> reflectors
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*>
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*> Q = H(1) H(2) . . . H(n-1).
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*>
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*> Each H(i) has the form
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*>
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*> H(i) = I - tau * v * v**T
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*>
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*> where tau is a real scalar, and v is a real vector with
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*> v(1:i) = 0 and v(i+1) = 1; v(i+2:n) is stored on exit in A(i+2:n,i),
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*> and tau in TAU(i).
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*>
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*> The contents of A on exit are illustrated by the following examples
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*> with n = 5:
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*>
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*> if UPLO = 'U': if UPLO = 'L':
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*>
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*> ( d e v2 v3 v4 ) ( d )
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*> ( d e v3 v4 ) ( e d )
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*> ( d e v4 ) ( v1 e d )
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*> ( d e ) ( v1 v2 e d )
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*> ( d ) ( v1 v2 v3 e d )
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*>
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*> where d and e denote diagonal and off-diagonal elements of T, and vi
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*> denotes an element of the vector defining H(i).
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*> \endverbatim
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*>
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* =====================================================================
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SUBROUTINE DSYTRD( UPLO, N, A, LDA, D, E, TAU, WORK, LWORK, INFO )
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*
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* -- LAPACK computational routine (version 3.7.0) --
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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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* December 2016
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*
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* .. Scalar Arguments ..
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CHARACTER UPLO
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INTEGER INFO, LDA, LWORK, N
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* ..
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* .. Array Arguments ..
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DOUBLE PRECISION A( LDA, * ), D( * ), E( * ), TAU( * ),
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$ WORK( * )
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* ..
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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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LOGICAL LQUERY, UPPER
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INTEGER I, IINFO, IWS, J, KK, LDWORK, LWKOPT, NB,
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$ NBMIN, NX
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* ..
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* .. External Subroutines ..
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EXTERNAL DLATRD, DSYR2K, DSYTD2, XERBLA
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* ..
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* .. Intrinsic Functions ..
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INTRINSIC MAX
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* ..
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* .. External Functions ..
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LOGICAL LSAME
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INTEGER ILAENV
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EXTERNAL LSAME, ILAENV
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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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UPPER = LSAME( UPLO, 'U' )
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LQUERY = ( LWORK.EQ.-1 )
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IF( .NOT.UPPER .AND. .NOT.LSAME( UPLO, 'L' ) ) 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, N ) ) THEN
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INFO = -4
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ELSE IF( LWORK.LT.1 .AND. .NOT.LQUERY ) THEN
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INFO = -9
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END IF
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*
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IF( INFO.EQ.0 ) THEN
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*
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* Determine the block size.
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*
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NB = ILAENV( 1, 'DSYTRD', UPLO, N, -1, -1, -1 )
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LWKOPT = N*NB
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WORK( 1 ) = LWKOPT
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END IF
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*
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IF( INFO.NE.0 ) THEN
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CALL XERBLA( 'DSYTRD', -INFO )
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RETURN
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ELSE IF( LQUERY ) THEN
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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( N.EQ.0 ) THEN
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WORK( 1 ) = 1
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RETURN
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END IF
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*
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NX = N
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IWS = 1
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IF( NB.GT.1 .AND. NB.LT.N ) THEN
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*
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* Determine when to cross over from blocked to unblocked code
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* (last block is always handled by unblocked code).
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*
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NX = MAX( NB, ILAENV( 3, 'DSYTRD', UPLO, N, -1, -1, -1 ) )
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IF( NX.LT.N ) THEN
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*
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* Determine if workspace is large enough for blocked code.
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*
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LDWORK = N
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IWS = LDWORK*NB
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IF( LWORK.LT.IWS ) THEN
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*
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* Not enough workspace to use optimal NB: determine the
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* minimum value of NB, and reduce NB or force use of
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* unblocked code by setting NX = N.
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*
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NB = MAX( LWORK / LDWORK, 1 )
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NBMIN = ILAENV( 2, 'DSYTRD', UPLO, N, -1, -1, -1 )
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IF( NB.LT.NBMIN )
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$ NX = N
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END IF
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ELSE
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NX = N
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END IF
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ELSE
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NB = 1
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END IF
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*
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IF( UPPER ) THEN
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*
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* Reduce the upper triangle of A.
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* Columns 1:kk are handled by the unblocked method.
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*
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KK = N - ( ( N-NX+NB-1 ) / NB )*NB
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DO 20 I = N - NB + 1, KK + 1, -NB
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*
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* Reduce columns i:i+nb-1 to tridiagonal form and form the
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* matrix W which is needed to update the unreduced part of
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* the matrix
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*
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CALL DLATRD( UPLO, I+NB-1, NB, A, LDA, E, TAU, WORK,
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$ LDWORK )
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*
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* Update the unreduced submatrix A(1:i-1,1:i-1), using an
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* update of the form: A := A - V*W**T - W*V**T
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*
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CALL DSYR2K( UPLO, 'No transpose', I-1, NB, -ONE, A( 1, I ),
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$ LDA, WORK, LDWORK, ONE, A, LDA )
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*
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* Copy superdiagonal elements back into A, and diagonal
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* elements into D
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*
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DO 10 J = I, I + NB - 1
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A( J-1, J ) = E( J-1 )
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D( J ) = A( J, J )
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10 CONTINUE
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20 CONTINUE
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*
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* Use unblocked code to reduce the last or only block
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*
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CALL DSYTD2( UPLO, KK, A, LDA, D, E, TAU, IINFO )
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ELSE
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*
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* Reduce the lower triangle of A
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*
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DO 40 I = 1, N - NX, NB
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*
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* Reduce columns i:i+nb-1 to tridiagonal form and form the
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* matrix W which is needed to update the unreduced part of
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* the matrix
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*
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CALL DLATRD( UPLO, N-I+1, NB, A( I, I ), LDA, E( I ),
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$ TAU( I ), WORK, LDWORK )
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*
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* Update the unreduced submatrix A(i+ib:n,i+ib:n), using
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* an update of the form: A := A - V*W**T - W*V**T
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*
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CALL DSYR2K( UPLO, 'No transpose', N-I-NB+1, NB, -ONE,
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$ A( I+NB, I ), LDA, WORK( NB+1 ), LDWORK, ONE,
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$ A( I+NB, I+NB ), LDA )
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*
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* Copy subdiagonal elements back into A, and diagonal
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* elements into D
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*
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DO 30 J = I, I + NB - 1
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A( J+1, J ) = E( J )
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D( J ) = A( J, J )
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30 CONTINUE
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40 CONTINUE
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*
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* Use unblocked code to reduce the last or only block
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*
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CALL DSYTD2( UPLO, N-I+1, A( I, I ), LDA, D( I ), E( I ),
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$ TAU( I ), IINFO )
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END IF
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*
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WORK( 1 ) = LWKOPT
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RETURN
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*
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* End of DSYTRD
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*
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END
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