strevc3.f - Online Linux Manual Page
Section : 3
Updated : Tue Nov 14 2017
Source : Version 3.8.0
Note : LAPACK
 
NAMEstrevc3.f 
SYNOPSIS
Functions/Subroutinessubroutine strevc3 (SIDE, HOWMNY, SELECT, N, T, LDT, VL, LDVL, VR, LDVR, MM, M, WORK, LWORK, INFO) 
STREVC3  
Function/Subroutine Documentation
subroutine strevc3 (character SIDE, character HOWMNY, logical, dimension( * ) SELECT, integer N, real, dimension( ldt, * ) T, integer LDT, real, dimension( ldvl, * ) VL, integer LDVL, real, dimension( ldvr, * ) VR, integer LDVR, integer MM, integer M, real, dimension( * ) WORK, integer LWORK, integer INFO)STREVC3   Purpose:   STREVC3 computes some or all of the right and/or left eigenvectors of
 a real upper quasi-triangular matrix T.
 Matrices of this type are produced by the Schur factorization of
 a real general matrix:  A = Q*T*Q**T, as computed by SHSEQR.
 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 y.
 The eigenvalues are not input to this routine, but are read directly
 from the diagonal blocks 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 orthogonal 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: SIDE            SIDE is CHARACTER*1
          = 'R':  compute right eigenvectors only;
          = 'L':  compute left eigenvectors only;
          = 'B':  compute both right and left eigenvectors.
HOWMNY            HOWMNY is CHARACTER*1
          = 'A':  compute all right and/or left eigenvectors;
          = 'B':  compute all right and/or left eigenvectors,
                  backtransformed by the matrices in VR and/or VL;
          = 'S':  compute selected right and/or left eigenvectors,
                  as indicated by the logical array SELECT.
SELECT            SELECT is LOGICAL array, dimension (N)
          If HOWMNY = 'S', SELECT specifies the eigenvectors to be
          computed.
          If w(j) is a real eigenvalue, the corresponding real
          eigenvector is computed if SELECT(j) is .TRUE..
          If w(j) and w(j+1) are the real and imaginary parts of a
          complex eigenvalue, the corresponding complex eigenvector is
          computed if either SELECT(j) or SELECT(j+1) is .TRUE., and
          on exit SELECT(j) is set to .TRUE. and SELECT(j+1) is set to
          .FALSE..
          Not referenced if HOWMNY = 'A' or 'B'.
N            N is INTEGER
          The order of the matrix T. N >= 0.
T            T is REAL array, dimension (LDT,N)
          The upper quasi-triangular matrix T in Schur canonical form.
LDT            LDT is INTEGER
          The leading dimension of the array T. LDT >= max(1,N).
VL            VL is REAL 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 orthogonal matrix Q
          of Schur vectors returned by SHSEQR).
          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.
          A complex eigenvector corresponding to a complex eigenvalue
          is stored in two consecutive columns, the first holding the
          real part, and the second the imaginary part.
          Not referenced if SIDE = 'R'.
LDVL            LDVL is INTEGER
          The leading dimension of the array VL.
          LDVL >= 1, and if SIDE = 'L' or 'B', LDVL >= N.
VR            VR is REAL 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 orthogonal matrix Q
          of Schur vectors returned by SHSEQR).
          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.
          A complex eigenvector corresponding to a complex eigenvalue
          is stored in two consecutive columns, the first holding the
          real part and the second the imaginary part.
          Not referenced if SIDE = 'L'.
LDVR            LDVR is INTEGER
          The leading dimension of the array VR.
          LDVR >= 1, and if SIDE = 'R' or 'B', LDVR >= N.
MM            MM is INTEGER
          The number of columns in the arrays VL and/or VR. MM >= M.
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 real eigenvector occupies one column and each
          selected complex eigenvector occupies two columns.
WORK            WORK is REAL array, dimension (MAX(1,LWORK))
LWORK            LWORK is INTEGER
          The dimension of array WORK. LWORK >= max(1,3*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.
INFO            INFO is INTEGER
          = 0:  successful exit
          < 0:  if INFO = -i, the i-th argument had an illegal valueAuthor: Univ. of Tennessee  Univ. of California Berkeley  Univ. of Colorado Denver  NAG Ltd.  Date: November 2017  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|.Definition at line 241 of file strevc3.f. 
AuthorGenerated automatically by Doxygen for LAPACK from the source code.  0  
   Johanes Gumabo   
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