| /external/eigen/test/ |
| D | eigensolver_complex.cpp | 50 VERIFY_IS_APPROX(symmA * ei0.eigenvectors(), ei0.eigenvectors() * ei0.eigenvalues().asDiagonal()); in eigensolver()
54 VERIFY_IS_APPROX(a * ei1.eigenvectors(), ei1.eigenvectors() * ei1.eigenvalues().asDiagonal()); in eigensolver()
57 verify_is_approx_upto_permutation(a.eigenvalues(), ei1.eigenvalues()); in eigensolver()
63 VERIFY_IS_EQUAL(ei2.eigenvalues(), ei1.eigenvalues()); in eigensolver()
72 VERIFY_IS_APPROX(ei1.eigenvalues(), eiNoEivecs.eigenvalues()); in eigensolver()
77 VERIFY((eiz.eigenvalues().cwiseEqual(0)).all()); in eigensolver()
95 VERIFY_RAISES_ASSERT(eig.eigenvalues()); in eigensolver_verify_assert()
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| D | eigensolver_selfadjoint.cpp | 61 eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal(), largerEps)); in selfadjointeigensolver()
62 VERIFY_IS_APPROX(symmA.template selfadjointView<Lower>().eigenvalues(), eiSymm.eigenvalues()); in selfadjointeigensolver()
66 eiDirect.eigenvectors() * eiDirect.eigenvalues().asDiagonal(), largerEps)); in selfadjointeigensolver()
67 VERIFY_IS_APPROX(symmA.template selfadjointView<Lower>().eigenvalues(), eiDirect.eigenvalues()); in selfadjointeigensolver()
71 VERIFY_IS_APPROX(eiSymm.eigenvalues(), eiSymmNoEivecs.eigenvalues()); in selfadjointeigensolver()
77 …plate selfadjointView<Lower>() * (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal())… in selfadjointeigensolver()
83 (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal()), largerEps)); in selfadjointeigensolver()
89 (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal()), largerEps)); in selfadjointeigensolver()
102 VERIFY_RAISES_ASSERT(eiSymmUninitialized.eigenvalues()); in selfadjointeigensolver()
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| D | eigensolver_generic.cpp | 37 (ei0.pseudoEigenvectors().template cast<Complex>()) * (ei0.eigenvalues().asDiagonal())); in eigensolver()
43 ei1.eigenvectors() * ei1.eigenvalues().asDiagonal()); in eigensolver()
45 VERIFY_IS_APPROX(a.eigenvalues(), ei1.eigenvalues()); in eigensolver()
51 VERIFY_IS_EQUAL(ei2.eigenvalues(), ei1.eigenvalues()); in eigensolver()
60 VERIFY_IS_APPROX(ei1.eigenvalues(), eiNoEivecs.eigenvalues()); in eigensolver()
81 VERIFY_RAISES_ASSERT(eig.eigenvalues()); in eigensolver_verify_assert()
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| D | eigensolver_generalized_real.cpp | 37 VERIFY_IS_EQUAL(eig.eigenvalues().imag().cwiseAbs().maxCoeff(), 0); in generalized_eigensolver_real()
39 VectorType realEigenvalues = eig.eigenvalues().real(); in generalized_eigensolver_real()
41 VERIFY_IS_APPROX(realEigenvalues, symmEig.eigenvalues()); in generalized_eigensolver_real()
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| /external/eigen/Eigen/src/Eigenvalues/ |
| D | MatrixBaseEigenvalues.h | 27 return ComplexEigenSolver<PlainObject>(m_eval, false).eigenvalues(); in run()
39 return EigenSolver<PlainObject>(m_eval, false).eigenvalues();
67 MatrixBase<Derived>::eigenvalues() const
89 SelfAdjointView<MatrixType, UpLo>::eigenvalues() const
93 return SelfAdjointEigenSolver<PlainObject>(thisAsMatrix, false).eigenvalues();
131 .eigenvalues()
155 return eigenvalues().cwiseAbs().maxCoeff();
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| /external/opencv3/modules/core/src/ |
| D | pca.cpp | 110 eigen( covar, eigenvalues, eigenvectors ); in operator ()()
145 eigenvalues = eigenvalues.rowRange(0,out_count).clone(); in operator ()()
157 fs << "values" << eigenvalues; in write()
168 cv::read(fs["values"], eigenvalues); in read()
173 int computeCumulativeEnergy(const Mat& eigenvalues, double retainedVariance) in computeCumulativeEnergy() argument
175 CV_DbgAssert( eigenvalues.type() == DataType<T>::type ); in computeCumulativeEnergy()
177 Mat g(eigenvalues.size(), DataType<T>::type); in computeCumulativeEnergy()
184 g.at<T>(ig,0) += eigenvalues.at<T>(im,0); in computeCumulativeEnergy()
190 for(L = 0; L < eigenvalues.rows; L++) in computeCumulativeEnergy()
246 eigen( covar, eigenvalues, eigenvectors ); in operator ()()
[all …]
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| /external/eigen/test/eigen2/ |
| D | eigen2_eigensolver.cpp | 66 VERIFY_IS_APPROX(_eval, eiSymm.eigenvalues()); in selfadjointeigensolver()
78 VERIFY_IS_APPROX(_eval, eiSymmGen.eigenvalues()); in selfadjointeigensolver()
89 eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal(), largerEps)); in selfadjointeigensolver()
93 symmB * (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal()), largerEps)); in selfadjointeigensolver()
123 (ei0.pseudoEigenvectors().template cast<Complex>()) * (ei0.eigenvalues().asDiagonal())); in eigensolver()
128 ei1.eigenvectors() * ei1.eigenvalues().asDiagonal()); in eigensolver()
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| /external/eigen/doc/snippets/ |
| D | 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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| D | 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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| D | 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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| D | EigenSolver_compute.cpp | 4 cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl;
6 cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl;
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| D | SelfAdjointEigenSolver_compute_MatrixType.cpp | 5 cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl;
7 cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl;
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| D | SelfAdjointEigenSolver_SelfAdjointEigenSolver.cpp | 5 cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl;
7 cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl;
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| D | 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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| D | 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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| D | MatrixBase_eigenvalues.cpp | 2 VectorXcd eivals = ones.eigenvalues();
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| D | EigenSolver_eigenvalues.cpp | 4 << endl << es.eigenvalues() << endl;
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| D | SelfAdjointEigenSolver_eigenvalues.cpp | 4 << endl << es.eigenvalues() << endl;
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| D | ComplexEigenSolver_eigenvalues.cpp | 4 << endl << ces.eigenvalues() << endl;
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| D | SelfAdjointView_eigenvalues.cpp | 2 VectorXd eivals = ones.selfadjointView<Lower>().eigenvalues();
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| D | GeneralizedEigenSolver.cpp | 7 cout << "The (complex) generalzied eigenvalues are (alphas./beta): " << ges.eigenvalues().transpose…
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| /external/opencv3/doc/tutorials/features2d/trackingmotion/generic_corner_detector/ |
| D | generic_corner_detector.markdown | 9 - Use the OpenCV function @ref cv::cornerEigenValsAndVecs to find the eigenvalues and eigenvectors
11 - Use the OpenCV function @ref cv::cornerMinEigenVal to find the minimum eigenvalues for corner
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| /external/eigen/Eigen/src/Eigen2Support/ |
| D | LeastSquares.h | 160 *soundness = eig.eigenvalues().coeff(0)/eig.eigenvalues().coeff(1);
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| /external/opencv3/doc/tutorials/ml/introduction_to_pca/ |
| D | introduction_to_pca.markdown | 26 …g PCA to N-dimensional data set yields N N-dimensional eigenvectors, N eigenvalues and 1 N-dimensi…
28 How are the eigenvectors and eigenvalues computed?
72 __Find the eigenvectors and eigenvalues of the covariance matrix__
78 where __D__ is the diagonal matrix of eigenvalues of __C__.
87 - The eigenvalues and eigenvectors are ordered and paired. The _j_ th eigenvalue corresponds to the…
118 …ter of mass) is stored in the _cntr_ variable and the eigenvectors and eigenvalues are stored in t…
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| /external/eigen/doc/examples/ |
| D | TutorialLinAlgSelfAdjointEigenSolver.cpp | 14 cout << "The eigenvalues of A are:\n" << eigensolver.eigenvalues() << endl; in main()
|