| /external/eigen/doc/snippets/ |
| ComplexEigenSolver_compute.cpp | 7 cout << "The matrix of eigenvectors, V, is:" << endl << ces.eigenvectors() << endl << endl;
11 VectorXcf v = ces.eigenvectors().col(0);
16 << ces.eigenvectors() * ces.eigenvalues().asDiagonal() * ces.eigenvectors().inverse() << endl;
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| ComplexEigenSolver_eigenvectors.cpp | 4 << endl << ces.eigenvectors().col(1) << endl;
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| EigenSolver_EigenSolver_MatrixType.cpp | 6 cout << "The matrix of eigenvectors, V, is:" << endl << es.eigenvectors() << endl << endl;
10 VectorXcd v = es.eigenvectors().col(0);
15 MatrixXcd V = es.eigenvectors();
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| EigenSolver_eigenvectors.cpp | 4 << endl << es.eigenvectors().col(1) << endl;
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| SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType.cpp | 7 cout << "The matrix of eigenvectors, V, is:" << endl << es.eigenvectors() << endl << endl;
11 VectorXd v = es.eigenvectors().col(0);
16 MatrixXd V = es.eigenvectors();
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| SelfAdjointEigenSolver_eigenvectors.cpp | 4 << endl << es.eigenvectors().col(1) << endl;
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| SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType2.cpp | 10 cout << "The matrix of eigenvectors, V, is:" << endl << es.eigenvectors() << endl << endl;
14 VectorXd v = es.eigenvectors().col(0);
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| /external/eigen/doc/examples/ |
| TutorialLinAlgSelfAdjointEigenSolver.cpp | 15 cout << "Here's a matrix whose columns are eigenvectors of A \n"
17 << eigensolver.eigenvectors() << endl;
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| /external/eigen/test/ |
| eigensolver_selfadjoint.cpp | 49 VERIFY((symmA.template selfadjointView<Lower>() * eiSymm.eigenvectors()).isApprox(
50 eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal(), largerEps));
54 VERIFY((symmA.template selfadjointView<Lower>() * eiDirect.eigenvectors()).isApprox(
55 eiDirect.eigenvectors() * eiDirect.eigenvalues().asDiagonal(), largerEps));
65 VERIFY((symmA.template selfadjointView<Lower>() * eiSymmGen.eigenvectors()).isApprox(
66 symmB.template selfadjointView<Lower>() * (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal()), largerEps));
71 VERIFY((symmB.template selfadjointView<Lower>() * (symmA.template selfadjointView<Lower>() * eiSymmGen.eigenvectors())).isApprox(
72 (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal()), largerEps));
77 VERIFY((symmA.template selfadjointView<Lower>() * (symmB.template selfadjointView<Lower>() * eiSymmGen.eigenvectors())).isApprox(
78 (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal()), largerEps))
[all...] |
| eigensolver_complex.cpp | 53 VERIFY_IS_APPROX(symmA * ei0.eigenvectors(), ei0.eigenvectors() * ei0.eigenvalues().asDiagonal());
57 VERIFY_IS_APPROX(a * ei1.eigenvectors(), ei1.eigenvectors() * ei1.eigenvalues().asDiagonal());
86 VERIFY_RAISES_ASSERT(eig.eigenvectors());
91 VERIFY_RAISES_ASSERT(eig.eigenvectors());
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| eigensolver_generic.cpp | 43 VERIFY_IS_APPROX(a.template cast<Complex>() * ei1.eigenvectors(),
44 ei1.eigenvectors() * ei1.eigenvalues().asDiagonal());
45 VERIFY_IS_APPROX(ei1.eigenvectors().colwise().norm(), RealVectorType::Ones(rows).transpose());
68 VERIFY_RAISES_ASSERT(eig.eigenvectors());
75 VERIFY_RAISES_ASSERT(eig.eigenvectors());
110 V(0,0) = solver.eigenvectors()(0,0).real();
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| /external/eigen/Eigen/src/Eigenvalues/ |
| ComplexEigenSolver.h | 24 * \brief Computes eigenvalues and eigenvectors of general complex matrices
30 * The eigenvalues and eigenvectors of a matrix \f$ A \f$ are scalars
33 * the diagonal, and \f$ V \f$ is a matrix with the eigenvectors as
39 * eigenvalues and eigenvectors of a given function. The
80 /** \brief Type for matrix of eigenvectors as returned by eigenvectors().
119 * \param[in] computeEigenvectors If true, both the eigenvectors and the
136 /** \brief Returns the eigenvectors of given matrix.
138 * \returns A const reference to the matrix whose columns are the eigenvectors.
146 * This function returns a matrix whose columns are the eigenvectors. Colum
156 const EigenvectorType& eigenvectors() const function in class:Eigen::ComplexEigenSolver
[all...] |
| EigenSolver.h | 23 * \brief Computes eigenvalues and eigenvectors of general matrices
29 * The eigenvalues and eigenvectors of a matrix \f$ A \f$ are scalars
32 * \f$ V \f$ is a matrix with the eigenvectors as its columns, then \f$ A V =
36 * The eigenvalues and eigenvectors of a matrix may be complex, even when the
46 * Call the function compute() to compute the eigenvalues and eigenvectors of
49 * eigenvalues and eigenvectors at construction time. Once the eigenvalue and
50 * eigenvectors are computed, they can be retrieved with the eigenvalues() and
51 * eigenvectors() functions. The pseudoEigenvalueMatrix() and
99 /** \brief Type for matrix of eigenvectors as returned by eigenvectors().
320 typename EigenSolver<MatrixType>::EigenvectorsType EigenSolver<MatrixType>::eigenvectors() const function in class:Eigen::EigenSolver
[all...] |
| GeneralizedSelfAdjointEigenSolver.h | 23 * \brief Computes eigenvalues and eigenvectors of the generalized selfadjoint eigen problem
35 * Call the function compute() to compute the eigenvalues and eigenvectors of
38 * constructor which computes the eigenvalues and eigenvectors at construction time.
39 * Once the eigenvalue and eigenvectors are computed, they can be retrieved with the eigenvalues()
40 * and eigenvectors() functions.
68 * eigenvalues and eigenvectors will be computed.
91 * to compute the eigenvalues and (if requested) the eigenvectors of the
95 * \f$ x^* B x = 1 \f$. The eigenvectors are computed if
126 * the eigenvectors of one of the following three generalized eigenproblems:
136 * eigenvectors are also computed and can be retrieved by callin
[all...] |
| SelfAdjointEigenSolver.h | 30 * \brief Computes eigenvalues and eigenvectors of selfadjoint matrices
38 * transpose. This class computes the eigenvalues and eigenvectors of a
43 * eigenvectors as its columns, then \f$ A = V D V^{-1} \f$ (for selfadjoint
53 * Call the function compute() to compute the eigenvalues and eigenvectors of
56 * the eigenvalues and eigenvectors at construction time. Once the eigenvalue
57 * and eigenvectors are computed, they can be retrieved with the eigenvalues()
58 * and eigenvectors() functions.
122 * eigenvalues and eigenvectors will be computed.
145 * eigenvalues of the matrix \p matrix. The eigenvectors are computed if
171 * then the eigenvectors are also computed and can be retrieved b
228 const MatrixType& eigenvectors() const function in class:Eigen::SelfAdjointEigenSolver
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| ComplexSchur_MKL.h | 29 * Complex Schur needed to complex unsymmetrical eigenvalues/eigenvectors.
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| RealSchur_MKL.h | 29 * Real Schur needed to real unsymmetrical eigenvalues/eigenvectors.
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| SelfAdjointEigenSolver_MKL.h | 29 * Self-adjoint eigenvalues/eigenvectors.
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| /external/jmonkeyengine/engine/src/core/com/jme3/math/ |
| Eigen3f.java | 46 Vector3f[] eigenVectors = new Vector3f[3];
62 eigenVectors[0] = new Vector3f();
63 eigenVectors[1] = new Vector3f();
64 eigenVectors[2] = new Vector3f();
98 eigenVectors[0].set(Vector3f.UNIT_X);
99 eigenVectors[1].set(Vector3f.UNIT_Y);
100 eigenVectors[2].set(Vector3f.UNIT_Z);
180 * Compute the eigenvectors of the given Matrix, using the
214 vectorU.mult(p01, eigenVectors[index3])
220 vectorU.mult(p11, eigenVectors[index3])
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| /external/eigen/test/eigen2/ |
| eigen2_eigensolver.cpp | 67 VERIFY_IS_APPROX(_evec.cwise().abs(), eiSymm.eigenvectors().cwise().abs());
77 MatrixType normalized_eivec = eiSymmGen.eigenvectors()*eiSymmGen.eigenvectors().colwise().norm().asDiagonal().inverse();
88 VERIFY((symmA * eiSymm.eigenvectors()).isApprox(
89 eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal(), largerEps));
92 VERIFY((symmA * eiSymmGen.eigenvectors()).isApprox(
93 symmB * (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal()), largerEps));
127 VERIFY_IS_APPROX(a.template cast<Complex>() * ei1.eigenvectors(),
128 ei1.eigenvectors() * ei1.eigenvalues().asDiagonal());
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| /external/eigen/unsupported/test/ |
| matrix_square_root.cpp | 29 result = (es.eigenvectors() * eivals.asDiagonal() * es.eigenvectors().inverse()).real();
|
| mpreal_support.cpp | 49 VERIFY_IS_APPROX((S.selfadjointView<Lower>() * eig.eigenvectors()),
50 eig.eigenvectors() * eig.eigenvalues().asDiagonal());
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| /external/eigen/lapack/ |
| eigenvalues.cpp | 76 matrix(a,*n,*n,*lda) = eig.eigenvectors();
|
| /external/eigen/bench/ |
| benchEigenSolver.cpp | 61 acc += ei.eigenvectors().coeff(r,c);
75 acc += ei.eigenvectors().coeff(r,c);
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| /external/opencv/cxcore/src/ |
| cxjacobieigens.cpp | 46 // Purpose: Eigenvalues & eigenvectors calculation of a symmetric matrix:
50 // V(n, n) - matrix of its eigenvectors
61 // 2. Eigenvalies and eigenvectors are sorted in Ei absolute value descending.
394 CV_ERROR( CV_StsUnmatchedSizes, "eigenvectors matrix has inappropriate size" );
402 "input matrix, eigenvalues and eigenvectors must have the same type" );
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