NAME claein - use inverse iteration to find a right or left eigenvector corresponding to the eigenvalue W of a complex upper Hessenberg matrix H SYNOPSIS SUBROUTINE CLAEIN( RIGHTV, NOINIT, N, H, LDH, W, V, B, LDB, RWORK, EPS3, SMLNUM, INFO ) LOGICAL NOINIT, RIGHTV INTEGER INFO, LDB, LDH, N REAL EPS3, SMLNUM COMPLEX W REAL RWORK( * ) COMPLEX B( LDB, * ), H( LDH, * ), V( * ) #include <sunperf.h> void claein(int rightv, int noinit, int n, complex *h, int ldh, complex *w, complex *v, complex *cb, int ldb, float eps3, float smlnum, int *info) ; PURPOSE CLAEIN uses inverse iteration to find a right or left eigen- vector corresponding to the eigenvalue W of a complex upper Hessenberg matrix H. ARGUMENTS RIGHTV (input) LOGICAL = .TRUE. : compute right eigenvector; = .FALSE.: compute left eigenvector. NOINIT (input) LOGICAL = .TRUE. : no initial vector supplied in V = .FALSE.: initial vector supplied in V. N (input) INTEGER The order of the matrix H. N >= 0. H (input) COMPLEX array, dimension (LDH,N) The upper Hessenberg matrix H. LDH (input) INTEGER The leading dimension of the array H. LDH >= max(1,N). W (input) COMPLEX The eigenvalue of H whose corresponding right or left eigenvector is to be computed. V (input/output) COMPLEX array, dimension (N) On entry, if NOINIT = .FALSE., V must contain a starting vector for inverse iteration; otherwise V need not be set. On exit, V contains the computed eigenvector, normalized so that the component of largest magnitude has magnitude 1; here the magni- tude of a complex number (x,y) is taken to be |x| + |y|. B (workspace) COMPLEX array, dimension (LDB,N) LDB (input) INTEGER The leading dimension of the array B. LDB >= max(1,N). RWORK (workspace) REAL array, dimension (N) EPS3 (input) REAL A small machine-dependent value which is used to perturb close eigenvalues, and to replace zero pivots. SMLNUM (input) REAL A machine-dependent value close to the underflow threshold. INFO (output) INTEGER = 0: successful exit = 1: inverse iteration did not converge; V is set to the last iterate.
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