| /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
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| 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
32 * \f$. If \f$ D \f$ is a diagonal matrix with the eigenvalues on
39 * eigenvalues and eigenvectors of a given function. The
73 /** \brief Type for vector of eigenvalues as returned by eigenvalues().
120 * eigenvalues are computed; if false, only the eigenvalues are
148 * \f$ as returned by eigenvalues(). The eigenvectors are normalized to
159 eigen_assert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenvalues.")
181 const EigenvalueType& eigenvalues() const function in class:Eigen::ComplexEigenSolver
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| EigenSolver.h | 23 * \brief Computes eigenvalues and eigenvectors of general matrices
29 * The eigenvalues and eigenvectors of a matrix \f$ A \f$ are scalars
31 * \f$ D \f$ is a diagonal matrix with the eigenvalues on the diagonal, and
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
62 * \sa MatrixBase::eigenvalues(), class ComplexEigenSolver, class SelfAdjointEigenSolver
92 /** \brief Type for vector of eigenvalues as returned by eigenvalues().
243 const EigenvalueType& eigenvalues() const function in class:Eigen::EigenSolver
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| SelfAdjointEigenSolver.h | 30 * \brief Computes eigenvalues and eigenvectors of selfadjoint matrices
38 * transpose. This class computes the eigenvalues and eigenvectors of a
40 * \f$ v \f$ such that \f$ Av = \lambda v \f$. The eigenvalues of a
42 * the eigenvalues on the diagonal, and \f$ V \f$ is a matrix with the
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()
66 * \sa MatrixBase::eigenvalues(), class EigenSolver, class ComplexEigenSolver
94 /** \brief Type for vector of eigenvalues as returned by eigenvalues()
250 const RealVectorType& eigenvalues() const function in class:Eigen::SelfAdjointEigenSolver
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| /external/chromium_org/ui/gfx/ |
| matrix3_f.cc | 134 float eigenvalues[3]; local
142 eigenvalues[0] = data_[M00];
143 eigenvalues[1] = data_[M11];
144 eigenvalues[2] = data_[M22];
169 eigenvalues[0] = q + 2 * p * static_cast<float>(cos(phi));
170 eigenvalues[2] = q + 2 * p *
172 eigenvalues[1] = 3 * q - eigenvalues[0] - eigenvalues[2];
175 // Put eigenvalues in the descending order
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| /external/opencv/cv/src/ |
| cvshapedescr.cpp | 788 double eigenvalues[6], eigenvectors[36]; local
797 CvMat _EIGVECS = cvMat(6,6,CV_64F,eigenvectors), _EIGVALS = cvMat(6,1,CV_64F,eigenvalues);
855 double a = eigenvalues[i];
873 // and find its eigenvalues and vectors too
878 if( eigenvalues[i] > 0 )
881 if( i >= 3 /*eigenvalues[0] < DBL_EPSILON*/ )
959 _EIGVALS = cvMat( 1, 2, CV_64F, eigenvalues );
963 box->size.width = (float)(2./sqrt(eigenvalues[0]));
964 box->size.height = (float)(2./sqrt(eigenvalues[1]));
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