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Judge unitary-ness relative to scaling.
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@ -25,6 +25,7 @@ void selfadjointeigensolver_essential_check(const MatrixType& m) {
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VERIFY_IS_EQUAL(eiSymm.info(), Success);
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RealScalar scaling = m.cwiseAbs().maxCoeff();
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RealScalar unitary_error_factor = RealScalar(16);
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if (scaling < (std::numeric_limits<RealScalar>::min)()) {
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VERIFY(eiSymm.eigenvalues().cwiseAbs().maxCoeff() <= (std::numeric_limits<RealScalar>::min)());
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@ -33,7 +34,7 @@ void selfadjointeigensolver_essential_check(const MatrixType& m) {
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(eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal()) / scaling);
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}
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VERIFY_IS_APPROX(m.template selfadjointView<Lower>().eigenvalues(), eiSymm.eigenvalues());
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VERIFY_IS_UNITARY(eiSymm.eigenvectors());
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VERIFY(eiSymm.eigenvectors().isUnitary(test_precision<RealScalar>() * unitary_error_factor));
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if (m.cols() <= 4) {
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SelfAdjointEigenSolver<MatrixType> eiDirect;
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@ -56,7 +57,7 @@ void selfadjointeigensolver_essential_check(const MatrixType& m) {
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VERIFY_IS_APPROX(m.template selfadjointView<Lower>().eigenvalues() / scaling, eiDirect.eigenvalues() / scaling);
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}
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VERIFY_IS_UNITARY(eiDirect.eigenvectors());
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VERIFY(eiDirect.eigenvectors().isUnitary(test_precision<RealScalar>() * unitary_error_factor));
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}
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}
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