Lines Matching full:matrix

26   * \tparam _MatrixType the type of the matrix of which we are
28   * instantiation of the Matrix class template.
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
33   * the diagonal, and \f$ V \f$ is a matrix with the eigenvectors as
34   * its columns, then \f$ A V = V D \f$. The matrix \f$ V \f$ is
78 …typedef Matrix<ComplexScalar, ColsAtCompileTime, 1, Options&(~RowMajor), MaxColsAtCompileTime, 1> …
80     /** \brief Type for matrix of eigenvectors as returned by eigenvectors().
82       * This is a square matrix with entries of type #ComplexScalar.
85 …typedef Matrix<ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime,…
116     /** \brief Constructor; computes eigendecomposition of given matrix.
118       * \param[in]  matrix  Square matrix whose eigendecomposition is to be computed.
125       ComplexEigenSolver(const MatrixType& matrix, bool computeEigenvectors = true)
126             : m_eivec(matrix.rows(),matrix.cols()),
127               m_eivalues(matrix.cols()),
128               m_schur(matrix.rows()),
131               m_matX(matrix.rows(),matrix.cols())
133       compute(matrix, computeEigenvectors);
136     /** \brief Returns the eigenvectors of given matrix.
138       * \returns  A const reference to the matrix whose columns are the eigenvectors.
141       * ComplexEigenSolver(const MatrixType& matrix, bool) or the member
142       * function compute(const MatrixType& matrix, bool) has been called before
143       * to compute the eigendecomposition of a matrix, and
146       * This function returns a matrix whose columns are the eigenvectors. Column
149       * have (Euclidean) norm equal to one. The matrix returned by this
150       * function is the matrix \f$ V \f$ in the eigendecomposition \f$ A = V D
163     /** \brief Returns the eigenvalues of given matrix.
168       * ComplexEigenSolver(const MatrixType& matrix, bool) or the member
169       * function compute(const MatrixType& matrix, bool) has been called before
170       * to compute the eigendecomposition of a matrix.
175       * rows in the matrix. The eigenvalues are not sorted in any particular
187     /** \brief Computes eigendecomposition of given matrix.
189       * \param[in]  matrix  Square matrix whose eigendecomposition is to be computed.
195       * This function computes the eigenvalues of the complex matrix \p matrix.
200       * The matrix is first reduced to Schur form using the
206       * is the size of the matrix.
211     ComplexEigenSolver& compute(const MatrixType& matrix, bool computeEigenvectors = true);
252 ComplexEigenSolver<MatrixType>::compute(const MatrixType& matrix, bool computeEigenvectors)  in compute()  argument
255   eigen_assert(matrix.cols() == matrix.rows());  in compute()
259   m_schur.compute(matrix, computeEigenvectors);  in compute()
265       doComputeEigenvectors(matrix.norm());  in compute()
281   // The matrix X is unit triangular.  in doComputeEigenvectors()