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SGGEV(1)	      LAPACK driver routine (version 3.2)	      SGGEV(1)

NAME
       SGGEV - computes for a pair of N-by-N real nonsymmetric matrices (A,B)

SYNOPSIS
       SUBROUTINE SGGEV( JOBVL,	 JOBVR,	 N,  A,	 LDA,  B, LDB, ALPHAR, ALPHAI,
			 BETA, VL, LDVL, VR, LDVR, WORK, LWORK, INFO )

	   CHARACTER	 JOBVL, JOBVR

	   INTEGER	 INFO, LDA, LDB, LDVL, LDVR, LWORK, N

	   REAL		 A( LDA, * ), ALPHAI( * ), ALPHAR( * ), B( LDB,	 *  ),
			 BETA( * ), VL( LDVL, * ), VR( LDVR, * ), WORK( * )

PURPOSE
       SGGEV  computes	for  a pair of N-by-N real nonsymmetric matrices (A,B)
       the generalized eigenvalues, and optionally, the left and/or right gen‐
       eralized eigenvectors.
       A  generalized  eigenvalue  for	a  pair	 of matrices (A,B) is a scalar
       lambda or a ratio alpha/beta = lambda, such that A - lambda*B is singu‐
       lar.  It is usually represented as the pair (alpha,beta), as there is a
       reasonable interpretation for beta=0, and even for both being zero.
       The right eigenvector v(j) corresponding to the eigenvalue lambda(j) of
       (A,B) satisfies
			A * v(j) = lambda(j) * B * v(j).
       The  left eigenvector u(j) corresponding to the eigenvalue lambda(j) of
       (A,B) satisfies
			u(j)**H * A  =	lambda(j)  *  u(j)**H  *  B  .	 where
       u(j)**H is the conjugate-transpose of u(j).

ARGUMENTS
       JOBVL   (input) CHARACTER*1
	       = 'N':  do not compute the left generalized eigenvectors;
	       = 'V':  compute the left generalized eigenvectors.

       JOBVR   (input) CHARACTER*1
	       = 'N':  do not compute the right generalized eigenvectors;
	       = 'V':  compute the right generalized eigenvectors.

       N       (input) INTEGER
	       The order of the matrices A, B, VL, and VR.  N >= 0.

       A       (input/output) REAL array, dimension (LDA, N)
	       On  entry, the matrix A in the pair (A,B).  On exit, A has been
	       overwritten.

       LDA     (input) INTEGER
	       The leading dimension of A.  LDA >= max(1,N).

       B       (input/output) REAL array, dimension (LDB, N)
	       On entry, the matrix B in the pair (A,B).  On exit, B has  been
	       overwritten.

       LDB     (input) INTEGER
	       The leading dimension of B.  LDB >= max(1,N).

       ALPHAR  (output) REAL array, dimension (N)
	       ALPHAI	(output)  REAL	array,	dimension (N) BETA    (output)
	       REAL   array,   dimension   (N)	 On   exit,    (ALPHAR(j)    +
	       ALPHAI(j)*i)/BETA(j), j=1,...,N, will be the generalized eigen‐
	       values.	If ALPHAI(j) is zero,  then  the  j-th	eigenvalue  is
	       real; if positive, then the j-th and (j+1)-st eigenvalues are a
	       complex conjugate pair, with ALPHAI(j+1) negative.   Note:  the
	       quotients  ALPHAR(j)/BETA(j)  and  ALPHAI(j)/BETA(j) may easily
	       over- or underflow, and BETA(j) may even be  zero.   Thus,  the
	       user should avoid naively computing the ratio alpha/beta.  How‐
	       ever, ALPHAR and ALPHAI will be always less  than  and  usually
	       comparable with norm(A) in magnitude, and BETA always less than
	       and usually comparable with norm(B).

       VL      (output) REAL array, dimension (LDVL,N)
	       If JOBVL = 'V', the left eigenvectors u(j) are stored one after
	       another in the columns of VL, in the same order as their eigen‐
	       values. If the j-th eigenvalue is real, then  u(j)  =  VL(:,j),
	       the  j-th  column  of  VL. If the j-th and (j+1)-th eigenvalues
	       form a complex conjugate pair, then u(j) =  VL(:,j)+i*VL(:,j+1)
	       and  u(j+1)  = VL(:,j)-i*VL(:,j+1).  Each eigenvector is scaled
	       so the largest component has abs(real part)+abs(imag.  part)=1.
	       Not referenced if JOBVL = 'N'.

       LDVL    (input) INTEGER
	       The leading dimension of the matrix VL. LDVL >= 1, and if JOBVL
	       = 'V', LDVL >= N.

       VR      (output) REAL array, dimension (LDVR,N)
	       If JOBVR = 'V', the right  eigenvectors	v(j)  are  stored  one
	       after  another in the columns of VR, in the same order as their
	       eigenvalues. If the  j-th  eigenvalue  is  real,	 then  v(j)  =
	       VR(:,j), the j-th column of VR. If the j-th and (j+1)-th eigen‐
	       values  form  a	 complex   conjugate   pair,   then   v(j)   =
	       VR(:,j)+i*VR(:,j+1)  and	 v(j+1)	 =  VR(:,j)-i*VR(:,j+1).  Each
	       eigenvector is scaled so the  largest  component	 has  abs(real
	       part)+abs(imag. part)=1.	 Not referenced if JOBVR = 'N'.

       LDVR    (input) INTEGER
	       The leading dimension of the matrix VR. LDVR >= 1, and if JOBVR
	       = 'V', LDVR >= N.

       WORK    (workspace/output) REAL array, dimension (MAX(1,LWORK))
	       On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

       LWORK   (input) INTEGER
	       The dimension of the array WORK.	  LWORK	 >=  max(1,8*N).   For
	       good  performance,  LWORK must generally be larger.  If LWORK =
	       -1, then a workspace query is assumed; the routine only	calcu‐
	       lates 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    (output) INTEGER
	       = 0:  successful exit
	       < 0:  if INFO = -i, the i-th argument had an illegal value.
	       =  1,...,N: The QZ iteration failed.  No eigenvectors have been
	       calculated, but ALPHAR(j), ALPHAI(j),  and  BETA(j)  should  be
	       correct	for  j=INFO+1,...,N.  > N:  =N+1: other than QZ itera‐
	       tion failed in SHGEQZ.
	       =N+2: error return from STGEVC.

 LAPACK driver routine (version 3November 2008			      SGGEV(1)
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