Lines Matching full:eigenvalues

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(). 
135       *    eigenvalues are computed; if false, only the eigenvalues are
138       * This constructor calls compute() to compute the eigenvalues
169       * to eigenvalue number \f$ k \f$ as returned by eigenvalues().  The
177       * \sa eigenvalues(), pseudoEigenvectors()
202 …sert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenvalues.");  in pseudoEigenvectors()
222       * \sa pseudoEigenvectors() for an example, eigenvalues()
226     /** \brief Returns the eigenvalues of given matrix. 
228       * \returns A const reference to the column vector containing the eigenvalues.
234       * The eigenvalues are repeated according to their algebraic multiplicity,
235       * so there are as many eigenvalues as rows in the matrix. The eigenvalues 
242       *     MatrixBase::eigenvalues()
244     const EigenvalueType& eigenvalues() const  in eigenvalues()  function
254       *    eigenvalues are computed; if false, only the eigenvalues are
258       * This function computes the eigenvalues of the real matrix \p matrix.
259       * The eigenvalues() function can be used to retrieve them.  If 
264       * class. The Schur decomposition is then used to compute the eigenvalues
348 …sert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenvalues.");  in eigenvectors()
399     // Compute eigenvalues from matT  in compute()
603       // We handled a pair of complex conjugate eigenvalues, so need to skip them both  in doComputeEigenvectors()