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

Include dependency graph for eigenvalues.cpp:

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

Functions
	if (computeVectors) matrix(a

	if (eig.info()==NoConvergence)

	if (query_size)

else	if (UPLO(uplo)==INVALID) info

else if *	lda (1, n)) info=-5;else if((!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

◆ if() [1/4]

if ( computeVectors )

◆ if() [2/4]

if ( eig. info() = =NoConvergence )

Definition at line 48 of file eigenvalues.cpp.

◆ if() [3/4]

if ( query_size )

Definition at line 32 of file eigenvalues.cpp.

◆ if() [4/4]

else if ( UPLO * uplo = =INVALID )

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

◆ lda()

else if* lda	(	1	,
		*	n
	)

Definition at line 23 of file eigenvalues.cpp.

◆ make_vector()

make_vector	(	w	,
		*	n
	)

Variable Documentation

◆ computeVectors

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

Definition at line 45 of file eigenvalues.cpp.

◆ eig

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

◆ info

else if n* info = 0

Definition at line 19 of file eigenvalues.cpp.

◆ lda

else if * lda = eig.eigenvectors()

Definition at line 59 of file eigenvalues.cpp.

◆ mat

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

Definition at line 43 of file eigenvalues.cpp.

◆ n

* n

Definition at line 41 of file eigenvalues.cpp.

◆ return

return

Definition at line 38 of file eigenvalues.cpp.

Functions

Variables