man dlaein (Fonctions bibliothèques) - use inverse iteration to find a right or left eigenvector corresponding to the eigenvalue (WR,WI) of a real upper Hessenberg matrix H
NAME
DLAEIN - use inverse iteration to find a right or left eigenvector corresponding to the eigenvalue (WR,WI) of a real upper Hessenberg matrix H
SYNOPSIS
- SUBROUTINE DLAEIN(
- RIGHTV, NOINIT, N, H, LDH, WR, WI, VR, VI, B, LDB, WORK, EPS3, SMLNUM, BIGNUM, INFO )
- LOGICAL NOINIT, RIGHTV
- INTEGER INFO, LDB, LDH, N
- DOUBLE PRECISION BIGNUM, EPS3, SMLNUM, WI, WR
- DOUBLE PRECISION B( LDB, * ), H( LDH, * ), VI( * ), VR( * ), WORK( * )
PURPOSE
DLAEIN uses inverse iteration to find a right or left eigenvector corresponding to the eigenvalue (WR,WI) of a real 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 (VR,VI).
= .FALSE.: initial vector supplied in (VR,VI).- N (input) INTEGER
- The order of the matrix H. N >= 0.
- H (input) DOUBLE PRECISION array, dimension (LDH,N)
- The upper Hessenberg matrix H.
- LDH (input) INTEGER
- The leading dimension of the array H. LDH >= max(1,N).
- WR (input) DOUBLE PRECISION
- WI (input) DOUBLE PRECISION The real and imaginary parts of the eigenvalue of H whose corresponding right or left eigenvector is to be computed.
- VR (input/output) DOUBLE PRECISION array, dimension (N)
- VI (input/output) DOUBLE PRECISION array, dimension (N) On entry, if NOINIT = .FALSE. and WI = 0.0, VR must contain a real starting vector for inverse iteration using the real eigenvalue WR; if NOINIT = .FALSE. and WI.ne.0.0, VR and VI must contain the real and imaginary parts of a complex starting vector for inverse iteration using the complex eigenvalue (WR,WI); otherwise VR and VI need not be set. On exit, if WI = 0.0 (real eigenvalue), VR contains the computed real eigenvector; if WI.ne.0.0 (complex eigenvalue), VR and VI contain the real and imaginary parts of the computed complex eigenvector. The eigenvector is normalized so that the component of largest magnitude has magnitude 1; here the magnitude of a complex number (x,y) is taken to be |x| + |y|. VI is not referenced if WI = 0.0.
- B (workspace) DOUBLE PRECISION array, dimension (LDB,N)
- LDB (input) INTEGER
- The leading dimension of the array B. LDB >= N+1.
- WORK (workspace) DOUBLE PRECISION array, dimension (N)
- EPS3 (input) DOUBLE PRECISION
- A small machine-dependent value which is used to perturb close eigenvalues, and to replace zero pivots.
- SMLNUM (input) DOUBLE PRECISION
- A machine-dependent value close to the underflow threshold.
- BIGNUM (input) DOUBLE PRECISION
- A machine-dependent value close to the overflow threshold.
- INFO (output) INTEGER
- = 0: successful exit
= 1: inverse iteration did not converge; VR is set to the last iterate, and so is VI if WI.ne.0.0.