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.
126     explicit ComplexEigenSolver(const EigenBase<InputType>& matrix, bool computeEigenvectors = true)
127             : m_eivec(matrix.rows(),matrix.cols()),
128               m_eivalues(matrix.cols()),
129               m_schur(matrix.rows()),
132               m_matX(matrix.rows(),matrix.cols())
134       compute(matrix.derived(), computeEigenvectors);
137     /** \brief Returns the eigenvectors of given matrix.
139       * \returns  A const reference to the matrix whose columns are the eigenvectors.
142       * ComplexEigenSolver(const MatrixType& matrix, bool) or the member
143       * function compute(const MatrixType& matrix, bool) has been called before
144       * to compute the eigendecomposition of a matrix, and
147       * This function returns a matrix whose columns are the eigenvectors. Column
150       * have (Euclidean) norm equal to one. The matrix returned by this
151       * function is the matrix \f$ V \f$ in the eigendecomposition \f$ A = V D
164     /** \brief Returns the eigenvalues of given matrix.
169       * ComplexEigenSolver(const MatrixType& matrix, bool) or the member
170       * function compute(const MatrixType& matrix, bool) has been called before
171       * to compute the eigendecomposition of a matrix.
176       * rows in the matrix. The eigenvalues are not sorted in any particular
188     /** \brief Computes eigendecomposition of given matrix.
190       * \param[in]  matrix  Square matrix whose eigendecomposition is to be computed.
196       * This function computes the eigenvalues of the complex matrix \p matrix.
201       * The matrix is first reduced to Schur form using the
207       * is the size of the matrix.
213 …  ComplexEigenSolver& compute(const EigenBase<InputType>& matrix, bool computeEigenvectors = true);
261 ComplexEigenSolver<MatrixType>::compute(const EigenBase<InputType>& matrix, bool computeEigenvector…  in compute()  argument
266   eigen_assert(matrix.cols() == matrix.rows());  in compute()
270   m_schur.compute(matrix.derived(), computeEigenvectors);  in compute()
294   // The matrix X is unit triangular.  in doComputeEigenvectors()