LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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◆ ztrevc3()

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

Download ZTREVC3 + dependencies [TGZ] [ZIP] [TXT]

Purpose:
!>
!> 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.
!> 
Parameters
[in]SIDE
!>          SIDE is CHARACTER*1
!>          = 'R':  compute right eigenvectors only;
!>          = 'L':  compute left eigenvectors only;
!>          = 'B':  compute both right and left eigenvectors.
!> 
[in]HOWMNY
!>          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.
!> 
[in]SELECT
!>          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'.
!> 
[in]N
!>          N is INTEGER
!>          The order of the matrix T. N >= 0.
!> 
[in,out]T
!>          T is COMPLEX*16 array, dimension (LDT,N)
!>          The upper triangular matrix T.  T is modified, but restored
!>          on exit.
!> 
[in]LDT
!>          LDT is INTEGER
!>          The leading dimension of the array T. LDT >= max(1,N).
!> 
[in,out]VL
!>          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'.
!> 
[in]LDVL
!>          LDVL is INTEGER
!>          The leading dimension of the array VL.
!>          LDVL >= 1, and if SIDE = 'L' or 'B', LDVL >= N.
!> 
[in,out]VR
!>          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'.
!> 
[in]LDVR
!>          LDVR is INTEGER
!>          The leading dimension of the array VR.
!>          LDVR >= 1, and if SIDE = 'R' or 'B', LDVR >= N.
!> 
[in]MM
!>          MM is INTEGER
!>          The number of columns in the arrays VL and/or VR. MM >= M.
!> 
[out]M
!>          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.
!> 
[out]WORK
!>          WORK is COMPLEX*16 array, dimension (MAX(1,LWORK))
!> 
[in]LWORK
!>          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.
!> 
[out]RWORK
!>          RWORK is DOUBLE PRECISION array, dimension (LRWORK)
!> 
[in]LRWORK
!>          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.
!> 
[out]INFO
!>          INFO is INTEGER
!>          = 0:  successful exit
!>          < 0:  if INFO = -i, the i-th argument had an illegal value
!> 
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Further Details:
!>
!>  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|.
!>