/home/abui.../ztrevc3.f(3)
๐ธ ZTREVC3 โ it's giving eigenvalue slay ๐
okay bestie so this is a page from the LAPACK Library Functions Manual, and the file it lives in is literally:
/home/abuild/rpmbuild/BUILD/lapack-
static-3.12.0-build/lapack-3.12.0/SRC/ztrevc3.f
yes that's the whole NAME section, it's just the file path, we love a minimal queen โจ
โจ SYNOPSIS โจ
Functions/Subroutines ๐ซถ
subroutine ZTREVC3 (side, howmny, select, n, t, ldt, vl, ldvl, vr, ldvr,
mm, m, work, lwork, rwork, lrwork, info)
ZTREVC3
Function/Subroutine Documentation ๐
subroutine ZTREVC3 (character side, character howmny, logical, dimension( *
) select, integer n, complex*16, dimension( ldt, * ) t, integer ldt,
complex*16, dimension( ldvl, * ) vl, integer ldvl, complex*16,
dimension( ldvr, * ) vr, integer ldvr, integer mm, integer m,
complex*16, dimension( * ) work, integer lwork, double precision,
dimension( * ) rwork, integer lrwork, integer info)
ZTREVC3
๐ฆ PURPOSE ๐ฆ
text !> !> ZTREVC3 computes some or all of the right and/or left eigenvectors of !> a complex upper triangular matrix T. !> Matrices of this type are produced by the Schur factorization of !> a complex general matrix: A = Q*T*Q**H, as computed by ZHSEQR. !> !> The right eigenvector x and the left eigenvector y of T corresponding !> to an eigenvalue w are defined by: !> !> T*x = w*x, (y**H)*T = w*(y**H) !> !> where y**H denotes the conjugate transpose of the vector y. !> The eigenvalues are not input to this routine, but are read directly !> from the diagonal of T. !> !> This routine returns the matrices X and/or Y of right and left !> eigenvectors of T, or the products Q*X and/or Q*Y, where Q is an !> input matrix. If Q is the unitary factor that reduces a matrix A to !> Schur form T, then Q*X and Q*Y are the matrices of right and left !> eigenvectors of A. !> !> This uses a Level 3 BLAS version of the back transformation. !>
so basically: you hand it a complex upper triangular matrix T, and it hands you back eigenvectors. no cap. the eigenvalues? not even an input, bestie โ it reads them straight off the diagonal of T. iconic behavior honestly ๐
๐ PARAMETERS ๐
SIDEโSIDEisCHARACTER*1. the vibe selector ๐ซ
!> SIDE is CHARACTER*1
!> = 'R': compute right eigenvectors only;
!> = 'L': compute left eigenvectors only;
!> = 'B': compute both right and left eigenvectors.
!>
HOWMNYโHOWMNYisCHARACTER*1. how many we doing, girl? ๐
!> HOWMNY is CHARACTER*1
!> = 'A': compute all right and/or left eigenvectors;
!> = 'B': compute all right and/or left eigenvectors,
!> backtransformed using the matrices supplied in
!> VR and/or VL;
!> = 'S': compute selected right and/or left eigenvectors,
!> as indicated by the logical array SELECT.
!>
SELECTโSELECTisLOGICAL array, dimension (N). the picker-chooser ๐ธ
!> SELECT is LOGICAL array, dimension (N)
!> If HOWMNY = 'S', SELECT specifies the eigenvectors to be
!> computed.
!> The eigenvector corresponding to the j-th eigenvalue is
!> computed if SELECT(j) = .TRUE..
!> Not referenced if HOWMNY = 'A' or 'B'.
!>
NโNisINTEGER. the order of the matrixT.N >= 0. ๐ข
!> N is INTEGER
!> The order of the matrix T. N >= 0.
!>
TโTisCOMPLEX*16 array, dimension (LDT,N). the upper triangular matrixTitself. she gets modified, but she's restored on exit โ no permanent damage, we promise ๐
!> T is COMPLEX*16 array, dimension (LDT,N)
!> The upper triangular matrix T. T is modified, but restored
!> on exit.
!>
LDTโLDTisINTEGER. the leading dimension ofT.LDT >= max(1,N). ๐
!> LDT is INTEGER
!> The leading dimension of the array T. LDT >= max(1,N).
!>
VLโVLisCOMPLEX*16 array, dimension (LDVL,MM). the left-eigenvector girlie ๐
!> VL is COMPLEX*16 array, dimension (LDVL,MM)
!> On entry, if SIDE = 'L' or 'B' and HOWMNY = 'B', VL must
!> contain an N-by-N matrix Q (usually the unitary matrix Q of
!> Schur vectors returned by ZHSEQR).
!> On exit, if SIDE = 'L' or 'B', VL contains:
!> if HOWMNY = 'A', the matrix Y of left eigenvectors of T;
!> if HOWMNY = 'B', the matrix Q*Y;
!> if HOWMNY = 'S', the left eigenvectors of T specified by
!> SELECT, stored consecutively in the columns
!> of VL, in the same order as their
!> eigenvalues.
!> Not referenced if SIDE = 'R'.
!>
LDVLโLDVLisINTEGER. the leading dimension ofVL.LDVL >= 1, and ifSIDE = 'L'or'B', thenLDVL >= N. ๐
!> LDVL is INTEGER
!> The leading dimension of the array VL.
!> LDVL >= 1, and if SIDE = 'L' or 'B', LDVL >= N.
!>
VRโVRisCOMPLEX*16 array, dimension (LDVR,MM). the right-eigenvector girlie ๐
!> VR is COMPLEX*16 array, dimension (LDVR,MM)
!> On entry, if SIDE = 'R' or 'B' and HOWMNY = 'B', VR must
!> contain an N-by-N matrix Q (usually the unitary matrix Q of
!> Schur vectors returned by ZHSEQR).
!> On exit, if SIDE = 'R' or 'B', VR contains:
!> if HOWMNY = 'A', the matrix X of right eigenvectors of T;
!> if HOWMNY = 'B', the matrix Q*X;
!> if HOWMNY = 'S', the right eigenvectors of T specified by
!> SELECT, stored consecutively in the columns
!> of VR, in the same order as their
!> eigenvalues.
!> Not referenced if SIDE = 'L'.
!>
LDVRโLDVRisINTEGER. the leading dimension ofVR.LDVR >= 1, and ifSIDE = 'R'or'B', thenLDVR >= N. ๐
!> LDVR is INTEGER
!> The leading dimension of the array VR.
!> LDVR >= 1, and if SIDE = 'R' or 'B', LDVR >= N.
!>
MMโMMisINTEGER. the number of columns inVLand/orVR.MM >= M. ๐งฎ
!> MM is INTEGER
!> The number of columns in the arrays VL and/or VR. MM >= M.
!>
MโMisINTEGER. the number of columns inVLand/orVRthat actually get used to store the eigenvectors. ifHOWMNY = 'A'or'B', thenMis set toN. each selected eigenvector occupies exactly one column, periodt ๐
!> M is INTEGER
!> The number of columns in the arrays VL and/or VR actually
!> used to store the eigenvectors.
!> If HOWMNY = 'A' or 'B', M is set to N.
!> Each selected eigenvector occupies one column.
!>
WORKโWORKisCOMPLEX*16 array, dimension (MAX(1,LWORK)). the scratchpad โจ
!> WORK is COMPLEX*16 array, dimension (MAX(1,LWORK))
!>
LWORKโLWORKisINTEGER. the dimension of the arrayWORK.LWORK >= max(1,2*N). for optimum performance,LWORK >= N + 2*N*NB, whereNBis the optimal blocksize. ๐ฅ
!> LWORK is INTEGER
!> The dimension of array WORK. LWORK >= max(1,2*N).
!> For optimum performance, LWORK >= N + 2*N*NB, where NB is
!> the optimal blocksize.
!>
!> 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.
!>
theLWORK = -1thing is the classic "just tell me how much space you want" move โ it queries, pops the answer into the first entry ofWORK, and XERBLA stays quiet aboutLWORK. no drama ๐ซถ
RWORKโRWORKisDOUBLE PRECISION array, dimension (LRWORK). the real-valued scratchpad ๐
!> RWORK is DOUBLE PRECISION array, dimension (LRWORK)
!>
LRWORKโLRWORKisINTEGER. the dimension of arrayRWORK.LRWORK >= max(1,N). โญ
!> LRWORK is INTEGER
!> The dimension of array RWORK. LRWORK >= max(1,N).
!>
!> If LRWORK = -1, then a workspace query is assumed; the routine
!> only calculates the optimal size of the RWORK array, returns
!> this value as the first entry of the RWORK array, and no error
!> message related to LRWORK is issued by XERBLA.
!>
same deal asLWORKbut forRWORK:LRWORK = -1means workspace query, optimal size goes in the first entry ofRWORK, and XERBLA does not come forLRWORK. we stan a low-drama query ๐
INFOโINFOisINTEGER. the receipts ๐งพ
!> INFO is INTEGER
!> = 0: successful exit
!> < 0: if INFO = -i, the i-th argument had an illegal value
!>
๐ AUTHOR ๐
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
the whole committee showed up, we love a collaborative moment ๐
๐ง FURTHER DETAILS ๐ง
text !> !> The algorithm used in this program is basically backward (forward) !> substitution, with scaling to make the the code robust against !> possible overflow. !> !> Each eigenvector is normalized so that the element of largest !> magnitude has magnitude 1; here the magnitude of a complex number !> (x,y) is taken to be |x| + |y|. !>
(yes, the original really does say "the the" โ iconique typo, not touching it ๐)
so: backward (forward) substitution with scaling so the code doesn't overflow, and every eigenvector gets normalized so its largest-magnitude element has magnitude 1 โ and just so we're clear, the "magnitude" of a complex number (x,y) here is |x| + |y|. that's the definition, fr fr.
Definition at line 242 of file ztrevc3.f. ๐
๐ Author (the meta one) ๐
Generated automatically by Doxygen for LAPACK from the source code. so nobody hand-wrote this page, a robot did, and honestly? she ate ๐ค๐
okay that's the whole page bestie, go forth and compute those eigenvectors ๐โจ๐๐ฆ
โ LAPACK, Version 3.12.0, /home/abui.../ztrevc3.f(3), mwah ๐
๐ฆ where this page comes from
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- opensuse-leap 16.0: lapack-man 3.12.0-160000.2.2 ยท BSD-3-Clause
- opensuse-leap 16.0: lapack-man 3.12.0-160000.2.2 ยท BSD-3-Clause
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