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LAPACK 3.12.1
LAPACK: Linear Algebra PACKage
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subroutine ssbev_2stage | ( | character | jobz, |
character | uplo, | ||
integer | n, | ||
integer | kd, | ||
real, dimension( ldab, * ) | ab, | ||
integer | ldab, | ||
real, dimension( * ) | w, | ||
real, dimension( ldz, * ) | z, | ||
integer | ldz, | ||
real, dimension( * ) | work, | ||
integer | lwork, | ||
integer | info ) |
SSBEV_2STAGE computes the eigenvalues and, optionally, the left and/or right eigenvectors for OTHER matrices
Download SSBEV_2STAGE + dependencies [TGZ] [ZIP] [TXT]
!> !> SSBEV_2STAGE computes all the eigenvalues and, optionally, eigenvectors of !> a real symmetric band matrix A using the 2stage technique for !> the reduction to tridiagonal. !>
[in] | JOBZ | !> JOBZ is CHARACTER*1 !> = 'N': Compute eigenvalues only; !> = 'V': Compute eigenvalues and eigenvectors. !> Not available in this release. !> |
[in] | UPLO | !> UPLO is CHARACTER*1 !> = 'U': Upper triangle of A is stored; !> = 'L': Lower triangle of A is stored. !> |
[in] | N | !> N is INTEGER !> The order of the matrix A. N >= 0. !> |
[in] | KD | !> KD is INTEGER !> The number of superdiagonals of the matrix A if UPLO = 'U', !> or the number of subdiagonals if UPLO = 'L'. KD >= 0. !> |
[in,out] | AB | !> AB is REAL array, dimension (LDAB, N) !> On entry, the upper or lower triangle of the symmetric band !> matrix A, stored in the first KD+1 rows of the array. The !> j-th column of A is stored in the j-th column of the array AB !> as follows: !> if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j; !> if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+kd). !> !> On exit, AB is overwritten by values generated during the !> reduction to tridiagonal form. If UPLO = 'U', the first !> superdiagonal and the diagonal of the tridiagonal matrix T !> are returned in rows KD and KD+1 of AB, and if UPLO = 'L', !> the diagonal and first subdiagonal of T are returned in the !> first two rows of AB. !> |
[in] | LDAB | !> LDAB is INTEGER !> The leading dimension of the array AB. LDAB >= KD + 1. !> |
[out] | W | !> W is REAL array, dimension (N) !> If INFO = 0, the eigenvalues in ascending order. !> |
[out] | Z | !> Z is REAL array, dimension (LDZ, N) !> If JOBZ = 'V', then if INFO = 0, Z contains the orthonormal !> eigenvectors of the matrix A, with the i-th column of Z !> holding the eigenvector associated with W(i). !> If JOBZ = 'N', then Z is not referenced. !> |
[in] | LDZ | !> LDZ is INTEGER !> The leading dimension of the array Z. LDZ >= 1, and if !> JOBZ = 'V', LDZ >= max(1,N). !> |
[out] | WORK | !> WORK is REAL array, dimension LWORK !> On exit, if INFO = 0, WORK(1) returns the optimal LWORK. !> |
[in] | LWORK | !> LWORK is INTEGER !> The length of the array WORK. LWORK >= 1, when N <= 1; !> otherwise !> If JOBZ = 'N' and N > 1, LWORK must be queried. !> LWORK = MAX(1, dimension) where !> dimension = (2KD+1)*N + KD*NTHREADS + N !> where KD is the size of the band. !> NTHREADS is the number of threads used when !> openMP compilation is enabled, otherwise =1. !> If JOBZ = 'V' and N > 1, LWORK must be queried. Not yet available. !> !> If LWORK = -1, then a workspace query is assumed; the routine !> only calculates the optimal size of the WORK array, returns !> this value as the first entry of the WORK array, and no error !> message related to LWORK is issued by XERBLA. !> |
[out] | INFO | !> INFO is INTEGER !> = 0: successful exit !> < 0: if INFO = -i, the i-th argument had an illegal value !> > 0: if INFO = i, the algorithm failed to converge; i !> off-diagonal elements of an intermediate tridiagonal !> form did not converge to zero. !> |
!> !> All details about the 2stage techniques are available in: !> !> Azzam Haidar, Hatem Ltaief, and Jack Dongarra. !> Parallel reduction to condensed forms for symmetric eigenvalue problems !> using aggregated fine-grained and memory-aware kernels. In Proceedings !> of 2011 International Conference for High Performance Computing, !> Networking, Storage and Analysis (SC '11), New York, NY, USA, !> Article 8 , 11 pages. !> http://doi.acm.org/10.1145/2063384.2063394 !> !> A. Haidar, J. Kurzak, P. Luszczek, 2013. !> An improved parallel singular value algorithm and its implementation !> for multicore hardware, In Proceedings of 2013 International Conference !> for High Performance Computing, Networking, Storage and Analysis (SC '13). !> Denver, Colorado, USA, 2013. !> Article 90, 12 pages. !> http://doi.acm.org/10.1145/2503210.2503292 !> !> A. Haidar, R. Solca, S. Tomov, T. Schulthess and J. Dongarra. !> A novel hybrid CPU-GPU generalized eigensolver for electronic structure !> calculations based on fine-grained memory aware tasks. !> International Journal of High Performance Computing Applications. !> Volume 28 Issue 2, Pages 196-209, May 2014. !> http://hpc.sagepub.com/content/28/2/196 !> !>
Definition at line 200 of file ssbev_2stage.f.