eigenvalues.cpp File Reference

#include "lapack_common.h"
#include <Eigen/Eigenvalues>

Include dependency graph for eigenvalues.cpp:

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Functions
else	if (UPLO(*uplo)==INVALID)*info
	if (query_size)
	if (eig.info()==NoConvergence)
	if (computeVectors) matrix(a
else if *	lda (1,*n))*info=-5;elseif((!query_size)&&*lwork< std::max(1, 3 **n-1))*info=-8;if(*info!=0
	make_vector (w,*n)

Variables
bool	computeVectors = *jobz=='V' || *jobz=='v'
SelfAdjointEigenSolver< PlainMatrixType >	eig (mat, computeVectors?ComputeEigenvectors:EigenvaluesOnly)
*	info = 0
*	lda = eig.eigenvectors()
else	mat = matrix(a,*n,*n,*lda)
PlainMatrixType mat *	n
if n	return

Function Documentation

else if

(

UPLO *

uplo = =INVALID

)

Definition at line 60 of file 3rdparty/Eigen/lapack/cholesky.cpp.

if

(

query_size

)

Definition at line 32 of file eigenvalues.cpp.

if

(

eig.

info() = =NoConvergence

)

Definition at line 48 of file eigenvalues.cpp.

if

(

computeVectors

)

else if* lda	(	1	,
		*	n
	)

Definition at line 23 of file eigenvalues.cpp.

make_vector	(	w	,
		*	n
	)

Variable Documentation

bool computeVectors = *jobz=='V' || *jobz=='v'

Definition at line 45 of file eigenvalues.cpp.

SelfAdjointEigenSolver<PlainMatrixType> eig(mat, computeVectors?ComputeEigenvectors:EigenvaluesOnly)

else if n* info = 0

Definition at line 19 of file eigenvalues.cpp.

else if * lda = eig.eigenvectors()

Definition at line 59 of file eigenvalues.cpp.

else mat = matrix(a,*n,*n,*lda)

Definition at line 43 of file eigenvalues.cpp.

* n

Definition at line 41 of file eigenvalues.cpp.

return

Definition at line 38 of file eigenvalues.cpp.