mirror/eigen
2
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2024-12-15 07:10:37 +08:00
Code Issues Packages Projects Releases Wiki Activity

Add regression test for bugs #854 and #1014, and check that the eigenvector matrix is unitary.

Browse Source
This commit is contained in:
Gael Guennebaud 2015-05-12 18:45:39 +02:00
parent e66caf48e8
commit a852001196
1 changed files with 44 additions and 12 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

56
test/eigensolver_selfadjoint.cpp
View File

@ -14,6 +14,27 @@
#include <Eigen/Eigenvalues>
template<typename MatrixType> void selfadjointeigensolver_essential_check(const MatrixType& m)
{
typedef typename MatrixType::Scalar Scalar;
typedef typename NumTraits<Scalar>::Real RealScalar;
RealScalar largerEps = 10*test_precision<RealScalar>();
SelfAdjointEigenSolver<MatrixType> eiSymm(m);
VERIFY_IS_EQUAL(eiSymm.info(), Success);
VERIFY((m.template selfadjointView<Lower>() * eiSymm.eigenvectors()).isApprox(
eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal(), largerEps));
VERIFY_IS_APPROX(m.template selfadjointView<Lower>().eigenvalues(), eiSymm.eigenvalues());
VERIFY_IS_UNITARY(eiSymm.eigenvectors());
SelfAdjointEigenSolver<MatrixType> eiDirect;
eiDirect.computeDirect(m);
VERIFY_IS_EQUAL(eiDirect.info(), Success);
VERIFY((m.template selfadjointView<Lower>() * eiDirect.eigenvectors()).isApprox(
eiDirect.eigenvectors() * eiDirect.eigenvalues().asDiagonal(), largerEps));
VERIFY_IS_APPROX(m.template selfadjointView<Lower>().eigenvalues(), eiDirect.eigenvalues());
VERIFY_IS_UNITARY(eiDirect.eigenvectors());
}
template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m)
{
@ -43,23 +64,13 @@ template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m)
MatrixType b1 = MatrixType::Random(rows,cols);
MatrixType symmB = b.adjoint() * b + b1.adjoint() * b1;
symmB.template triangularView<StrictlyUpper>().setZero();
CALL_SUBTEST( selfadjointeigensolver_essential_check(symmA) );
SelfAdjointEigenSolver<MatrixType> eiSymm(symmA);
SelfAdjointEigenSolver<MatrixType> eiDirect;
eiDirect.computeDirect(symmA);
// generalized eigen pb
GeneralizedSelfAdjointEigenSolver<MatrixType> eiSymmGen(symmC, symmB);
VERIFY_IS_EQUAL(eiSymm.info(), Success);
VERIFY((symmA.template selfadjointView<Lower>() * eiSymm.eigenvectors()).isApprox(
eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal(), largerEps));
VERIFY_IS_APPROX(symmA.template selfadjointView<Lower>().eigenvalues(), eiSymm.eigenvalues());
VERIFY_IS_EQUAL(eiDirect.info(), Success);
VERIFY((symmA.template selfadjointView<Lower>() * eiDirect.eigenvectors()).isApprox(
eiDirect.eigenvectors() * eiDirect.eigenvalues().asDiagonal(), largerEps));
VERIFY_IS_APPROX(symmA.template selfadjointView<Lower>().eigenvalues(), eiDirect.eigenvalues());
SelfAdjointEigenSolver<MatrixType> eiSymmNoEivecs(symmA, false);
VERIFY_IS_EQUAL(eiSymmNoEivecs.info(), Success);
VERIFY_IS_APPROX(eiSymm.eigenvalues(), eiSymmNoEivecs.eigenvalues());
@ -135,6 +146,24 @@ template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m)
}
}
void bug_854()
{
Matrix3d m;
m << 850.961, 51.966, 0,
51.966, 254.841, 0,
0, 0, 0;
selfadjointeigensolver_essential_check(m);
}
void bug_1014()
{
Matrix3d m;
m << 0.11111111111111114658, 0, 0,
0, 0.11111111111111109107, 0,
0, 0, 0.11111111111111107719;
selfadjointeigensolver_essential_check(m);
}
void test_eigensolver_selfadjoint()
{
int s = 0;
@ -162,6 +191,9 @@ void test_eigensolver_selfadjoint()
CALL_SUBTEST_6( selfadjointeigensolver(Matrix<double,1,1>()) );
CALL_SUBTEST_7( selfadjointeigensolver(Matrix<double,2,2>()) );
}
CALL_SUBTEST_13( bug_854() );
CALL_SUBTEST_13( bug_1014() );
// Test problem size constructors
s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/4);