| /external/eigen/doc/snippets/ |
| ComplexEigenSolver_eigenvalues.cpp | 3 cout << "The eigenvalues of the 3x3 matrix of ones are:"
4 << endl << ces.eigenvalues() << endl;
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| EigenSolver_eigenvalues.cpp | 3 cout << "The eigenvalues of the 3x3 matrix of ones are:"
4 << endl << es.eigenvalues() << endl;
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| MatrixBase_eigenvalues.cpp | 2 VectorXcd eivals = ones.eigenvalues();
3 cout << "The eigenvalues of the 3x3 matrix of ones are:" << endl << eivals << endl;
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| SelfAdjointEigenSolver_eigenvalues.cpp | 3 cout << "The eigenvalues of the 3x3 matrix of ones are:"
4 << endl << es.eigenvalues() << endl;
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| SelfAdjointView_eigenvalues.cpp | 2 VectorXd eivals = ones.selfadjointView<Lower>().eigenvalues();
3 cout << "The eigenvalues of the 3x3 matrix of ones are:" << endl << eivals << endl;
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| EigenSolver_compute.cpp | 4 cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl;
5 es.compute(A + MatrixXf::Identity(4,4), false); // re-use es to compute eigenvalues of A+I
6 cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl;
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| SelfAdjointEigenSolver_SelfAdjointEigenSolver.cpp | 5 cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl;
6 es.compute(A + Matrix4f::Identity(4,4)); // re-use es to compute eigenvalues of A+I
7 cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl;
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| SelfAdjointEigenSolver_compute_MatrixType.cpp | 5 cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl;
6 es.compute(A + MatrixXf::Identity(4,4)); // re-use es to compute eigenvalues of A+I
7 cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl;
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| SelfAdjointEigenSolver_compute_MatrixType2.cpp | 7 cout << "The eigenvalues of the pencil (A,B) are:" << endl << es.eigenvalues() << endl;
9 cout << "The eigenvalues of the pencil (B,A) are:" << endl << es.eigenvalues() << endl;
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| ComplexEigenSolver_compute.cpp | 6 cout << "The eigenvalues of A are:" << endl << ces.eigenvalues() << endl;
9 complex<float> lambda = ces.eigenvalues()[0];
16 << ces.eigenvectors() * ces.eigenvalues().asDiagonal() * ces.eigenvectors().inverse() << endl;
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| EigenSolver_EigenSolver_MatrixType.cpp | 5 cout << "The eigenvalues of A are:" << endl << es.eigenvalues() << endl;
8 complex<double> lambda = es.eigenvalues()[0];
14 MatrixXcd D = es.eigenvalues().asDiagonal();
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| SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType.cpp | 6 cout << "The eigenvalues of A are:" << endl << es.eigenvalues() << endl;
9 double lambda = es.eigenvalues()[0];
15 MatrixXd D = es.eigenvalues().asDiagonal();
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| GeneralizedEigenSolver.cpp | 5 cout << "The (complex) numerators of the generalzied eigenvalues are: " << ges.alphas().transpose() << endl;
6 cout << "The (real) denominatore of the generalzied eigenvalues are: " << ges.betas().transpose() << endl;
7 cout << "The (complex) generalzied eigenvalues are (alphas./beta): " << ges.eigenvalues().transpose() << endl;
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| SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType2.cpp | 9 cout << "The eigenvalues of the pencil (A,B) are:" << endl << es.eigenvalues() << endl;
12 double lambda = es.eigenvalues()[0];
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| /external/eigen/Eigen/src/Eigenvalues/ |
| MatrixBaseEigenvalues.h | 27 return ComplexEigenSolver<PlainObject>(m_eval, false).eigenvalues();
39 return EigenSolver<PlainObject>(m_eval, false).eigenvalues();
45 /** \brief Computes the eigenvalues of a matrix
46 * \returns Column vector containing the eigenvalues.
49 * This function computes the eigenvalues with the help of the EigenSolver
53 * The eigenvalues are repeated according to their algebraic multiplicity,
54 * so there are as many eigenvalues as rows in the matrix.
62 * \sa EigenSolver::eigenvalues(), ComplexEigenSolver::eigenvalues(),
63 * SelfAdjointView::eigenvalues()
67 MatrixBase<Derived>::eigenvalues() const function in class:Eigen::MatrixBase
89 SelfAdjointView<MatrixType, UpLo>::eigenvalues() const function in class:Eigen::SelfAdjointView
[all...] |
| /external/eigen/test/ |
| eigensolver_selfadjoint.cpp | 14 #include <Eigen/Eigenvalues>
31 VERIFY(eiSymm.eigenvalues().cwiseAbs().maxCoeff() <= (std::numeric_limits<RealScalar>::min)());
36 (eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal())/scaling);
38 VERIFY_IS_APPROX(m.template selfadjointView<Lower>().eigenvalues(), eiSymm.eigenvalues());
46 if(! eiSymm.eigenvalues().isApprox(eiDirect.eigenvalues(), eival_eps) )
48 std::cerr << "reference eigenvalues: " << eiSymm.eigenvalues().transpose() << "\n"
49 << "obtained eigenvalues: " << eiDirect.eigenvalues().transpose() << "\n
[all...] |
| eigensolver_generic.cpp | 13 #include <Eigen/Eigenvalues>
37 (ei0.pseudoEigenvectors().template cast<Complex>()) * (ei0.eigenvalues().asDiagonal()));
43 ei1.eigenvectors() * ei1.eigenvalues().asDiagonal());
45 VERIFY_IS_APPROX(a.eigenvalues(), ei1.eigenvalues());
51 VERIFY_IS_EQUAL(ei2.eigenvalues(), ei1.eigenvalues());
60 VERIFY_IS_APPROX(ei1.eigenvalues(), eiNoEivecs.eigenvalues());
85 VERIFY_IS_MUCH_SMALLER_THAN(ei3.eigenvalues().norm(),RealScalar(1))
[all...] |
| eigensolver_complex.cpp | 13 #include <Eigen/Eigenvalues>
89 VERIFY_IS_APPROX(symmA * ei0.eigenvectors(), ei0.eigenvectors() * ei0.eigenvalues().asDiagonal());
93 VERIFY_IS_APPROX(a * ei1.eigenvectors(), ei1.eigenvectors() * ei1.eigenvalues().asDiagonal());
94 // Note: If MatrixType is real then a.eigenvalues() uses EigenSolver and thus
96 verify_is_approx_upto_permutation(a.eigenvalues(), ei1.eigenvalues());
102 VERIFY_IS_EQUAL(ei2.eigenvalues(), ei1.eigenvalues());
111 VERIFY_IS_APPROX(ei1.eigenvalues(), eiNoEivecs.eigenvalues());
[all...] |
| eigensolver_generalized_real.cpp | 13 #include <Eigen/Eigenvalues>
41 VERIFY_IS_EQUAL(eig.eigenvalues().imag().cwiseAbs().maxCoeff(), 0);
43 VectorType realEigenvalues = eig.eigenvalues().real();
45 VERIFY_IS_APPROX(realEigenvalues, symmEig.eigenvalues());
48 typename GeneralizedEigenSolver<MatrixType>::EigenvectorsType D = eig.eigenvalues().asDiagonal();
68 typename GeneralizedEigenSolver<MatrixType>::EigenvectorsType D = eig.eigenvalues().asDiagonal();
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| /external/eigen/doc/examples/ |
| TutorialLinAlgSelfAdjointEigenSolver.cpp | 14 cout << "The eigenvalues of A are:\n" << eigensolver.eigenvalues() << endl;
16 << "corresponding to these eigenvalues:\n"
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| /external/tensorflow/tensorflow/core/kernels/ |
| self_adjoint_eig_v2_op_gpu.cc | 65 Tensor* eigenvalues; variable
69 context, context->allocate_output(0, eigenvalues_shape, &eigenvalues),
89 eigenvalues_real = *eigenvalues;
144 cast(device, eigenvalues->flat<Scalar>(),
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| self_adjoint_eig_op.cc | 19 #include "third_party/eigen3/Eigen/Eigenvalues"
65 outputs->at(0).row(0) = es.eigenvalues().transpose();
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| self_adjoint_eig_v2_op_impl.h | 19 #include "third_party/eigen3/Eigen/Eigenvalues"
73 outputs->at(0) = eig.eigenvalues().template cast<Scalar>();
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| /external/eigen/lapack/ |
| eigenvalues.cpp | 11 #include <Eigen/Eigenvalues>
57 make_vector(w,*n) = eig.eigenvalues();
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| /external/eigen/unsupported/test/ |
| mpreal_support.cpp | 4 #include <Eigen/Eigenvalues>
53 // symmetric eigenvalues
56 VERIFY( (S.selfadjointView<Lower>() * eig.eigenvectors()).isApprox(eig.eigenvectors() * eig.eigenvalues().asDiagonal(), NumTraits<mpreal>::dummy_precision()*1e3) );
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