devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

make eigen2 eigensolver test pass

Browse Source
This commit is contained in:
Benoit Jacob
2011-01-31 08:36:14 -05:00
parent e2642ed620
commit 374deaed5f
2 changed files with 38 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
test/eigen2/eigen2_eigensolver.cpp
View File

@@ -75,7 +75,7 @@ template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m)
convert(gEvec, _evec);
// test gsl itself !
VERIFY((symmA * _evec).isApprox(_evec * _eval.asDiagonal().eval(), largerEps));
VERIFY((symmA * _evec).isApprox(_evec * _eval.asDiagonal(), largerEps));
// compare with eigen
VERIFY_IS_APPROX(_eval, eiSymm.eigenvalues());
@@ -86,7 +86,7 @@ template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m)
convert(gEval, _eval);
convert(gEvec, _evec);
// test GSL itself:
VERIFY((symmA * _evec).isApprox(symmB * (_evec * _eval.asDiagonal().eval()), largerEps));
VERIFY((symmA * _evec).isApprox(symmB * (_evec * _eval.asDiagonal()), largerEps));
// compare with eigen
// std::cerr << _eval.transpose() << "\n" << eiSymmGen.eigenvalues().transpose() << "\n\n";
@@ -102,11 +102,11 @@ template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m)
#endif
VERIFY((symmA * eiSymm.eigenvectors()).isApprox(
eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal().eval(), largerEps));
eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal(), largerEps));
// generalized eigen problem Ax = lBx
VERIFY((symmA * eiSymmGen.eigenvectors()).isApprox(
symmB * (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal().eval()), largerEps));
symmB * (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal()), largerEps));
MatrixType sqrtSymmA = eiSymm.operatorSqrt();
VERIFY_IS_APPROX(symmA, sqrtSymmA*sqrtSymmA);
@@ -141,7 +141,7 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
EigenSolver<MatrixType> ei1(a);
VERIFY_IS_APPROX(a * ei1.pseudoEigenvectors(), ei1.pseudoEigenvectors() * ei1.pseudoEigenvalueMatrix());
VERIFY_IS_APPROX(a.template cast<Complex>() * ei1.eigenvectors(),
ei1.eigenvectors() * ei1.eigenvalues().asDiagonal().eval());
ei1.eigenvectors() * ei1.eigenvalues().asDiagonal());
}