Lines Matching defs:MatrixType

48   * EigenSolver(const MatrixType&, bool) constructor which computes the
55 * The documentation for EigenSolver(const MatrixType&, bool) contains an
69 typedef _MatrixType MatrixType;
72 RowsAtCompileTime = MatrixType::RowsAtCompileTime,
73 ColsAtCompileTime = MatrixType::ColsAtCompileTime,
74 Options = MatrixType::Options,
75 MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
76 MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
79 /** \brief Scalar type for matrices of type #MatrixType. */
80 typedef typename MatrixType::Scalar Scalar;
84 /** \brief Complex scalar type for #MatrixType.
95 * The length of the vector is the size of #MatrixType.
102 * The size is the same as the size of #MatrixType.
109 * perform decompositions via EigenSolver::compute(const MatrixType&, bool).
164 * EigenSolver(const MatrixType&,bool) or the member function
165 * compute(const MatrixType&, bool) has been called before, and
186 * EigenSolver(const MatrixType&,bool) or the member function
187 * compute(const MatrixType&, bool) has been called before, and
199 const MatrixType& pseudoEigenvectors() const
211 * EigenSolver(const MatrixType&,bool) or the member function
212 * compute(const MatrixType&, bool) has been called before.
224 MatrixType pseudoEigenvalueMatrix() const;
231 * EigenSolver(const MatrixType&,bool) or the member function
232 * compute(const MatrixType&, bool) has been called before.
311 MatrixType m_eivec;
316 RealSchur<MatrixType> m_realSchur;
317 MatrixType m_matT;
323 template<typename MatrixType>
324 MatrixType EigenSolver<MatrixType>::pseudoEigenvalueMatrix() const
329 MatrixType matD = MatrixType::Zero(n,n);
344 template<typename MatrixType>
345 typename EigenSolver<MatrixType>::EigenvectorsType EigenSolver<MatrixType>::eigenvectors() const
376 template<typename MatrixType>
378 EigenSolver<MatrixType>&
379 EigenSolver<MatrixType>::compute(const EigenBase<InputType>& matrix, bool computeEigenvectors)
457 template<typename MatrixType>
458 void EigenSolver<MatrixType>::doComputeEigenvectors()