SRC/ssytrd_sy2sb.f(3)
π SRC/ssytrd_sy2sb.f(3) π
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β¨ NAME β¨
SRC/ssytrd_sy2sb.f
πΈ SYNOPSIS πΈ
π Functions/Subroutines π
subroutine ssytrd_sy2sb (uplo, n, kd, a, lda, ab, ldab, tau, work, lwork, info)βSSYTRD_SY2SB
π¦ Function/Subroutine Documentation π¦
subroutine ssytrd_sy2sb (character uplo, integer n, integer kd, real, dimension( lda, * ) a, integer lda, real, dimension( ldab, * ) ab, integer ldab, real, dimension( * ) tau, real, dimension( * ) work, integer lwork, integer info)
SSYTRD_SY2SB
π₯ Purpose π₯
okay so SSYTRD_SY2SB reduces a real symmetric matrix A to real symmetric band-diagonal form AB by an orthogonal similarity transformation:
Q**T * A * Q = AB.
no cap, thatβs the whole vibe π«
π Parameters π
UPLOβUPLOisCHARACTER*1.= 'U': upper triangle ofAis stored;= 'L': lower triangle ofAis stored.
NβNisINTEGER. Itβs the order of the matrixA.N >= 0.KDβKDisINTEGER. Itβs the number of superdiagonals of the reduced matrix ifUPLO = 'U', or the number of subdiagonals ifUPLO = 'L'.KD >= 0. The reduced matrix is stored in the arrayAB.AβAis aREAL array, dimension (LDA,N). On entry, itβs the symmetric matrixA. IfUPLO = 'U', the leadingN-by-Nupper triangular part ofAcontains the upper triangular part of the matrixA, and the strictly lower triangular part ofAis not referenced. IfUPLO = 'L', the leadingN-by-Nlower triangular part ofAcontains the lower triangular part of the matrixA, and the strictly upper triangular part ofAis not referenced. On exit, ifUPLO = 'U', the diagonal and first superdiagonal ofAare overwritten by the corresponding elements of the tridiagonal matrixT, and the elements above the first superdiagonal, with the arrayTAU, represent the orthogonal matrixQas a product of elementary reflectors; ifUPLO = 'L', the diagonal and first subdiagonal ofAare overwritten by the corresponding elements of the tridiagonal matrixT, and the elements below the first subdiagonal, with the arrayTAU, represent the orthogonal matrixQas a product of elementary reflectors. See Further Details.LDAβLDAisINTEGER. Itβs the leading dimension of the arrayA.LDA >= max(1,N).ABβABis aREAL array, dimension (LDAB,N). On exit, the upper or lower triangle of the symmetric band matrixA, stored in the firstKD+1rows of the array. Thej-th column ofAis stored in thej-th column of the arrayABas follows: ifUPLO = 'U',AB(kd+1+i-j,j) = A(i,j)formax(1,j-kd)<=i<=j; ifUPLO = 'L',AB(1+i-j,j) = A(i,j)forj<=i<=min(n,j+kd).LDABβLDABisINTEGER. Itβs the leading dimension of the arrayAB.LDAB >= KD+1.TAUβTAUis aREAL array, dimension (N-KD). These are the scalar factors of the elementary reflectors (see Further Details).WORKβWORKis aREAL array, dimension (LWORK). On exit, ifINFO = 0, or ifLWORK = -1,WORK(1)returns the size ofLWORK.LWORKβLWORKisINTEGER. Itβs the dimension of the arrayWORKwhich should be calculated by a workspace query. IfN <= KD+1,LWORK >= 1, elseLWORK = MAX(1, LWORK_QUERY). IfLWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of theWORKarray, returns this value as the first entry of theWORKarray, and no error message related toLWORKis issued byXERBLA.LWORK_QUERY = N*KD + N*max(KD,FACTOPTNB) + 2*KD*KDwhereFACTOPTNBis the blocking used by the QR or LQ algorithm, usuallyFACTOPTNB=128is a good choice otherwise puttingLWORK=-1will provide the size ofWORK.INFOβINFOisINTEGER.= 0: successful exit< 0: ifINFO = -i, thei-th argument had an illegal value
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π§ Further Details π§
Implemented by Azzam Haidar.
All details are available on technical report, SC11, SC13 papers.
- 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
okay so if UPLO = 'U', the matrix Q is represented as a product of elementary reflectors:
Q = H(k)**T . . . H(2)**T H(1)**T, where k = n-kd.
Each H(i) has the form:
H(i) = I - tau * v * v**T
where tau is a real scalar, and v is a real vector with v(1:i+kd-1) = 0 and v(i+kd) = 1; conjg(v(i+kd+1:n)) is stored on exit in A(i,i+kd+1:n), and tau in TAU(i).
if UPLO = 'L', the matrix Q is represented as a product of elementary reflectors:
Q = H(1) H(2) . . . H(k), where k = n-kd.
Each H(i) has the form:
H(i) = I - tau * v * v**T
where tau is a real scalar, and v is a real vector with v(kd+1:i) = 0 and v(i+kd+1) = 1; v(i+kd+2:n) is stored on exit in A(i+kd+2:n,i), and tau in TAU(i).
The contents of A on exit are illustrated by the following examples with n = 5:
if UPLO = 'U': if UPLO = 'L':
( ab ab/v1 v1 v1 v1 ) ( ab )
( ab ab/v2 v2 v2 ) ( ab/v1 ab )
( ab ab/v3 v3 ) ( v1 ab/v2 ab )
( ab ab/v4 ) ( v1 v2 ab/v3 ab )
( ab ) ( v1 v2 v3 ab/v4 ab )
where d and e denote diagonal and off-diagonal elements of T, and vi denotes an element of the vector defining H(i).
Definition at line 243 of file ssytrd_sy2sb.f.
π«Ά Author π«Ά
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