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404 lines
13 KiB
404 lines
13 KiB
2 years ago
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*> \brief <b> SSBEVD_2STAGE computes the eigenvalues and, optionally, the left and/or right eigenvectors for OTHER matrices</b>
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*
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* @generated from dsbevd_2stage.f, fortran d -> s, Sat Nov 5 23:58:03 2016
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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 SSBEVD_2STAGE + dependencies
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/ssbevd_2stage.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/ssbevd_2stage.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/ssbevd_2stage.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 SSBEVD_2STAGE( JOBZ, UPLO, N, KD, AB, LDAB, W, Z, LDZ,
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* WORK, LWORK, IWORK, LIWORK, INFO )
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*
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* IMPLICIT NONE
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*
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* .. Scalar Arguments ..
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* CHARACTER JOBZ, UPLO
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* INTEGER INFO, KD, LDAB, LDZ, LIWORK, LWORK, N
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* ..
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* .. Array Arguments ..
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* INTEGER IWORK( * )
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* REAL AB( LDAB, * ), W( * ), WORK( * ), Z( LDZ, * )
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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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*> SSBEVD_2STAGE computes all the eigenvalues and, optionally, eigenvectors of
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*> a real symmetric band matrix A using the 2stage technique for
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*> the reduction to tridiagonal. If eigenvectors are desired, it uses
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*> a divide and conquer algorithm.
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*>
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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] JOBZ
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*> \verbatim
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*> JOBZ is CHARACTER*1
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*> = 'N': Compute eigenvalues only;
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*> = 'V': Compute eigenvalues and eigenvectors.
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*> Not available in this release.
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*> \endverbatim
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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] KD
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*> \verbatim
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*> KD is INTEGER
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*> The number of superdiagonals of the matrix A if UPLO = 'U',
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*> or the number of subdiagonals if UPLO = 'L'. KD >= 0.
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*> \endverbatim
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*>
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*> \param[in,out] AB
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*> \verbatim
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*> AB is REAL array, dimension (LDAB, N)
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*> On entry, the upper or lower triangle of the symmetric band
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*> matrix A, stored in the first KD+1 rows of the array. The
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*> j-th column of A is stored in the j-th column of the array AB
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*> as follows:
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*> if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
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*> if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+kd).
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*>
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*> On exit, AB is overwritten by values generated during the
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*> reduction to tridiagonal form. If UPLO = 'U', the first
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*> superdiagonal and the diagonal of the tridiagonal matrix T
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*> are returned in rows KD and KD+1 of AB, and if UPLO = 'L',
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*> the diagonal and first subdiagonal of T are returned in the
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*> first two rows of AB.
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*> \endverbatim
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*>
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*> \param[in] LDAB
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*> \verbatim
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*> LDAB is INTEGER
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*> The leading dimension of the array AB. LDAB >= KD + 1.
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*> \endverbatim
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*>
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*> \param[out] W
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*> \verbatim
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*> W is REAL array, dimension (N)
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*> If INFO = 0, the eigenvalues in ascending order.
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*> \endverbatim
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*>
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*> \param[out] Z
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*> \verbatim
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*> Z is REAL array, dimension (LDZ, N)
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*> If JOBZ = 'V', then if INFO = 0, Z contains the orthonormal
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*> eigenvectors of the matrix A, with the i-th column of Z
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*> holding the eigenvector associated with W(i).
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*> If JOBZ = 'N', then Z is not referenced.
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*> \endverbatim
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*>
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*> \param[in] LDZ
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*> \verbatim
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*> LDZ is INTEGER
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*> The leading dimension of the array Z. LDZ >= 1, and if
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*> JOBZ = 'V', LDZ >= max(1,N).
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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 REAL array, dimension 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 length of the array WORK. LWORK >= 1, when N <= 1;
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*> otherwise
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*> If JOBZ = 'N' and N > 1, LWORK must be queried.
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*> LWORK = MAX(1, dimension) where
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*> dimension = (2KD+1)*N + KD*NTHREADS + N
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*> where KD is the size of the band.
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*> NTHREADS is the number of threads used when
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*> openMP compilation is enabled, otherwise =1.
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*> If JOBZ = 'V' and N > 1, LWORK must be queried. Not yet available.
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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 sizes of the WORK and IWORK
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*> arrays, returns these values as the first entries of the WORK
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*> and IWORK arrays, and no error message related to LWORK or
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*> LIWORK is issued by XERBLA.
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*> \endverbatim
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*>
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*> \param[out] IWORK
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*> \verbatim
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*> IWORK is INTEGER array, dimension (MAX(1,LIWORK))
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*> On exit, if INFO = 0, IWORK(1) returns the optimal LIWORK.
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*> \endverbatim
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*>
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*> \param[in] LIWORK
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*> \verbatim
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*> LIWORK is INTEGER
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*> The dimension of the array IWORK.
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*> If JOBZ = 'N' or N <= 1, LIWORK must be at least 1.
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*> If JOBZ = 'V' and N > 2, LIWORK must be at least 3 + 5*N.
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*>
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*> If LIWORK = -1, then a workspace query is assumed; the
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*> routine only calculates the optimal sizes of the WORK and
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*> IWORK arrays, returns these values as the first entries of
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*> the WORK and IWORK arrays, and no error message related to
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*> LWORK or LIWORK 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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*> > 0: if INFO = i, the algorithm failed to converge; i
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*> off-diagonal elements of an intermediate tridiagonal
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*> form did not converge to zero.
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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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*> \ingroup realOTHEReigen
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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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*> All details about the 2stage techniques are available in:
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*>
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*> Azzam Haidar, Hatem Ltaief, and Jack Dongarra.
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*> Parallel reduction to condensed forms for symmetric eigenvalue problems
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*> using aggregated fine-grained and memory-aware kernels. In Proceedings
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*> of 2011 International Conference for High Performance Computing,
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*> Networking, Storage and Analysis (SC '11), New York, NY, USA,
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*> Article 8 , 11 pages.
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*> http://doi.acm.org/10.1145/2063384.2063394
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*>
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*> A. Haidar, J. Kurzak, P. Luszczek, 2013.
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*> An improved parallel singular value algorithm and its implementation
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*> for multicore hardware, In Proceedings of 2013 International Conference
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*> for High Performance Computing, Networking, Storage and Analysis (SC '13).
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*> Denver, Colorado, USA, 2013.
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*> Article 90, 12 pages.
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*> http://doi.acm.org/10.1145/2503210.2503292
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*>
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*> A. Haidar, R. Solca, S. Tomov, T. Schulthess and J. Dongarra.
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*> A novel hybrid CPU-GPU generalized eigensolver for electronic structure
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*> calculations based on fine-grained memory aware tasks.
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*> International Journal of High Performance Computing Applications.
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*> Volume 28 Issue 2, Pages 196-209, May 2014.
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*> http://hpc.sagepub.com/content/28/2/196
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*>
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*> \endverbatim
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*
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* =====================================================================
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SUBROUTINE SSBEVD_2STAGE( JOBZ, UPLO, N, KD, AB, LDAB, W, Z, LDZ,
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$ WORK, LWORK, IWORK, LIWORK, INFO )
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*
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IMPLICIT NONE
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*
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* -- LAPACK driver routine --
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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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*
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* .. Scalar Arguments ..
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CHARACTER JOBZ, UPLO
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INTEGER INFO, KD, LDAB, LDZ, LIWORK, LWORK, N
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* ..
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* .. Array Arguments ..
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INTEGER IWORK( * )
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REAL AB( LDAB, * ), W( * ), WORK( * ), Z( LDZ, * )
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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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REAL ZERO, ONE
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PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 )
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* ..
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* .. Local Scalars ..
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LOGICAL LOWER, LQUERY, WANTZ
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INTEGER IINFO, INDE, INDWK2, INDWRK, ISCALE, LIWMIN,
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$ LLWORK, LWMIN, LHTRD, LWTRD, IB, INDHOUS,
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$ LLWRK2
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REAL ANRM, BIGNUM, EPS, RMAX, RMIN, SAFMIN, SIGMA,
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$ SMLNUM
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* ..
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* .. External Functions ..
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LOGICAL LSAME
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INTEGER ILAENV2STAGE
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REAL SLAMCH, SLANSB
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EXTERNAL LSAME, SLAMCH, SLANSB, ILAENV2STAGE
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* ..
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* .. External Subroutines ..
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EXTERNAL SGEMM, SLACPY, SLASCL, SSCAL, SSTEDC,
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$ SSTERF, XERBLA, SSYTRD_SB2ST
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* ..
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* .. Intrinsic Functions ..
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INTRINSIC SQRT
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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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WANTZ = LSAME( JOBZ, 'V' )
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LOWER = LSAME( UPLO, 'L' )
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LQUERY = ( LWORK.EQ.-1 .OR. LIWORK.EQ.-1 )
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*
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INFO = 0
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IF( N.LE.1 ) THEN
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LIWMIN = 1
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LWMIN = 1
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ELSE
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IB = ILAENV2STAGE( 2, 'SSYTRD_SB2ST', JOBZ, N, KD, -1, -1 )
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LHTRD = ILAENV2STAGE( 3, 'SSYTRD_SB2ST', JOBZ, N, KD, IB, -1 )
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LWTRD = ILAENV2STAGE( 4, 'SSYTRD_SB2ST', JOBZ, N, KD, IB, -1 )
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IF( WANTZ ) THEN
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LIWMIN = 3 + 5*N
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LWMIN = 1 + 5*N + 2*N**2
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ELSE
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LIWMIN = 1
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LWMIN = MAX( 2*N, N+LHTRD+LWTRD )
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END IF
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END IF
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IF( .NOT.( LSAME( JOBZ, 'N' ) ) ) THEN
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INFO = -1
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ELSE IF( .NOT.( LOWER .OR. LSAME( UPLO, 'U' ) ) ) THEN
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INFO = -2
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ELSE IF( N.LT.0 ) THEN
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INFO = -3
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ELSE IF( KD.LT.0 ) THEN
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INFO = -4
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ELSE IF( LDAB.LT.KD+1 ) THEN
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INFO = -6
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ELSE IF( LDZ.LT.1 .OR. ( WANTZ .AND. LDZ.LT.N ) ) 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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WORK( 1 ) = LWMIN
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IWORK( 1 ) = LIWMIN
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*
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IF( LWORK.LT.LWMIN .AND. .NOT.LQUERY ) THEN
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INFO = -11
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ELSE IF( LIWORK.LT.LIWMIN .AND. .NOT.LQUERY ) THEN
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INFO = -13
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END IF
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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( 'SSBEVD_2STAGE', -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 )
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$ RETURN
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*
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IF( N.EQ.1 ) THEN
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W( 1 ) = AB( 1, 1 )
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IF( WANTZ )
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$ Z( 1, 1 ) = ONE
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RETURN
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END IF
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*
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* Get machine constants.
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*
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SAFMIN = SLAMCH( 'Safe minimum' )
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EPS = SLAMCH( 'Precision' )
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SMLNUM = SAFMIN / EPS
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BIGNUM = ONE / SMLNUM
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RMIN = SQRT( SMLNUM )
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RMAX = SQRT( BIGNUM )
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*
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* Scale matrix to allowable range, if necessary.
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*
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ANRM = SLANSB( 'M', UPLO, N, KD, AB, LDAB, WORK )
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ISCALE = 0
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IF( ANRM.GT.ZERO .AND. ANRM.LT.RMIN ) THEN
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ISCALE = 1
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SIGMA = RMIN / ANRM
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ELSE IF( ANRM.GT.RMAX ) THEN
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ISCALE = 1
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SIGMA = RMAX / ANRM
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END IF
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IF( ISCALE.EQ.1 ) THEN
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IF( LOWER ) THEN
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CALL SLASCL( 'B', KD, KD, ONE, SIGMA, N, N, AB, LDAB, INFO )
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ELSE
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CALL SLASCL( 'Q', KD, KD, ONE, SIGMA, N, N, AB, LDAB, INFO )
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END IF
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END IF
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*
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* Call SSYTRD_SB2ST to reduce band symmetric matrix to tridiagonal form.
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*
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INDE = 1
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INDHOUS = INDE + N
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INDWRK = INDHOUS + LHTRD
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LLWORK = LWORK - INDWRK + 1
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INDWK2 = INDWRK + N*N
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LLWRK2 = LWORK - INDWK2 + 1
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*
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CALL SSYTRD_SB2ST( "N", JOBZ, UPLO, N, KD, AB, LDAB, W,
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$ WORK( INDE ), WORK( INDHOUS ), LHTRD,
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$ WORK( INDWRK ), LLWORK, IINFO )
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*
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* For eigenvalues only, call SSTERF. For eigenvectors, call SSTEDC.
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*
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IF( .NOT.WANTZ ) THEN
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CALL SSTERF( N, W, WORK( INDE ), INFO )
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ELSE
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CALL SSTEDC( 'I', N, W, WORK( INDE ), WORK( INDWRK ), N,
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$ WORK( INDWK2 ), LLWRK2, IWORK, LIWORK, INFO )
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CALL SGEMM( 'N', 'N', N, N, N, ONE, Z, LDZ, WORK( INDWRK ), N,
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$ ZERO, WORK( INDWK2 ), N )
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CALL SLACPY( 'A', N, N, WORK( INDWK2 ), N, Z, LDZ )
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END IF
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*
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* If matrix was scaled, then rescale eigenvalues appropriately.
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*
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IF( ISCALE.EQ.1 )
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$ CALL SSCAL( N, ONE / SIGMA, W, 1 )
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*
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WORK( 1 ) = LWMIN
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IWORK( 1 ) = LIWMIN
|
||
|
RETURN
|
||
|
*
|
||
|
* End of SSBEVD_2STAGE
|
||
|
*
|
||
|
END
|