mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
* add .imag() function
* fix a very old bug in EigenSolver that I had completely forgotten (thanks to Timothy to refresh my mind) * fix doc of Matrix::Map
This commit is contained in:
@@ -130,27 +130,13 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
|
||||
MatrixType a1 = MatrixType::Random(rows,cols);
|
||||
MatrixType symmA = a.adjoint() * a + a1.adjoint() * a1;
|
||||
|
||||
// MatrixType b = MatrixType::Random(rows,cols);
|
||||
// MatrixType b1 = MatrixType::Random(rows,cols);
|
||||
// MatrixType symmB = b.adjoint() * b + b1.adjoint() * b1;
|
||||
|
||||
EigenSolver<MatrixType> ei0(symmA);
|
||||
VERIFY_IS_APPROX(symmA * ei0.pseudoEigenvectors(), ei0.pseudoEigenvectors() * ei0.pseudoEigenvalueMatrix());
|
||||
VERIFY_IS_APPROX((symmA.template cast<Complex>()) * (ei0.pseudoEigenvectors().template cast<Complex>()),
|
||||
(ei0.pseudoEigenvectors().template cast<Complex>()) * (ei0.eigenvalues().asDiagonal()));
|
||||
|
||||
// a = a /*+ symmA*/;
|
||||
EigenSolver<MatrixType> ei1(a);
|
||||
|
||||
IOFormat OctaveFmt(4, AlignCols, ", ", ";\n", "", "", "[", "]");
|
||||
// std::cerr << "==============\n" << a.format(OctaveFmt) << "\n\n" << ei1.eigenvalues().transpose() << "\n\n";
|
||||
// std::cerr << a * ei1.pseudoEigenvectors() << "\n\n" << ei1.pseudoEigenvectors() * ei1.pseudoEigenvalueMatrix() << "\n\n\n";
|
||||
|
||||
// VERIFY_IS_APPROX(a * ei1.pseudoEigenvectors(), ei1.pseudoEigenvectors() * ei1.pseudoEigenvalueMatrix());
|
||||
|
||||
|
||||
// std::cerr << a.format(OctaveFmt) << "\n\n";
|
||||
// std::cerr << ei1.eigenvectors().format(OctaveFmt) << "\n\n";
|
||||
// std::cerr << a.template cast<Complex>() * ei1.eigenvectors() << "\n\n" << ei1.eigenvectors() * ei1.eigenvalues().asDiagonal().eval() << "\n\n";
|
||||
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());
|
||||
|
||||
@@ -167,8 +153,7 @@ void test_eigensolver()
|
||||
CALL_SUBTEST( selfadjointeigensolver(MatrixXd(19,19)) );
|
||||
|
||||
CALL_SUBTEST( eigensolver(Matrix4f()) );
|
||||
// FIXME the test fails for larger matrices
|
||||
// CALL_SUBTEST( eigensolver(MatrixXd(7,7)) );
|
||||
CALL_SUBTEST( eigensolver(MatrixXd(17,17)) );
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user