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LAPACK
3.4.0
LAPACK: Linear Algebra PACKage
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Go to the source code of this file.
Functions/Subroutines | |
| subroutine | DLAEIN (RIGHTV, NOINIT, N, H, LDH, WR, WI, VR, VI, B, LDB, WORK, EPS3, SMLNUM, BIGNUM, INFO) |
| DLAEIN | |
| subroutine DLAEIN | ( | LOGICAL | RIGHTV, |
| LOGICAL | NOINIT, | ||
| INTEGER | N, | ||
| DOUBLE PRECISION, dimension( ldh, * ) | H, | ||
| INTEGER | LDH, | ||
| DOUBLE PRECISION | WR, | ||
| DOUBLE PRECISION | WI, | ||
| DOUBLE PRECISION, dimension( * ) | VR, | ||
| DOUBLE PRECISION, dimension( * ) | VI, | ||
| DOUBLE PRECISION, dimension( ldb, * ) | B, | ||
| INTEGER | LDB, | ||
| DOUBLE PRECISION, dimension( * ) | WORK, | ||
| DOUBLE PRECISION | EPS3, | ||
| DOUBLE PRECISION | SMLNUM, | ||
| DOUBLE PRECISION | BIGNUM, | ||
| INTEGER | INFO | ||
| ) |
DLAEIN
Download DLAEIN + dependencies [TGZ] [ZIP] [TXT]DLAEIN uses inverse iteration to find a right or left eigenvector corresponding to the eigenvalue (WR,WI) of a real upper Hessenberg matrix H.
| [in] | RIGHTV |
RIGHTV is LOGICAL
= .TRUE. : compute right eigenvector;
= .FALSE.: compute left eigenvector.
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| [in] | NOINIT |
NOINIT is LOGICAL
= .TRUE. : no initial vector supplied in (VR,VI).
= .FALSE.: initial vector supplied in (VR,VI).
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| [in] | N |
N is INTEGER
The order of the matrix H. N >= 0.
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| [in] | H |
H is DOUBLE PRECISION array, dimension (LDH,N)
The upper Hessenberg matrix H.
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| [in] | LDH |
LDH is INTEGER
The leading dimension of the array H. LDH >= max(1,N).
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| [in] | WR |
WR is DOUBLE PRECISION
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| [in] | WI |
WI is DOUBLE PRECISION
The real and imaginary parts of the eigenvalue of H whose
corresponding right or left eigenvector is to be computed.
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| [in,out] | VR |
VR is DOUBLE PRECISION array, dimension (N)
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| [in,out] | VI |
VI is 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.
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| [out] | B |
B is DOUBLE PRECISION array, dimension (LDB,N)
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| [in] | LDB |
LDB is INTEGER
The leading dimension of the array B. LDB >= N+1.
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| [out] | WORK |
WORK is DOUBLE PRECISION array, dimension (N)
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| [in] | EPS3 |
EPS3 is DOUBLE PRECISION
A small machine-dependent value which is used to perturb
close eigenvalues, and to replace zero pivots.
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| [in] | SMLNUM |
SMLNUM is DOUBLE PRECISION
A machine-dependent value close to the underflow threshold.
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| [in] | BIGNUM |
BIGNUM is DOUBLE PRECISION
A machine-dependent value close to the overflow threshold.
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| [out] | INFO |
INFO is 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.
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Definition at line 172 of file dlaein.f.