Lines Matching full:eigenvectors

34   * \brief Computes eigenvalues and eigenvectors of selfadjoint matrices
42   * transpose. This class computes the eigenvalues and eigenvectors of a
47   * eigenvectors as its columns, then \f$ A = V D V^{-1} \f$. This is called the
61   * Call the function compute() to compute the eigenvalues and eigenvectors of
64   * the eigenvalues and eigenvectors at construction time. Once the eigenvalue
65   * and eigenvectors are computed, they can be retrieved with the eigenvalues()
66   * and eigenvectors() functions.
137       * eigenvalues and eigenvectors will be computed.
163       * eigenvalues of the matrix \p matrix. The eigenvectors are computed if
193       * then the eigenvectors are also computed and can be retrieved by
194       * calling eigenvectors().
202       * The cost of the computation is about \f$ 9n^3 \f$ if the eigenvectors
253     /** \brief Returns the eigenvectors of given matrix.
255       * \returns  A const reference to the matrix whose columns are the eigenvectors.
257       * \pre The eigenvectors have been computed before.
261       * eigenvectors are normalized to have (Euclidean) norm equal to one. If
277     const EigenvectorsType& eigenvectors() const
280 …eigen_assert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenv…
297       * \sa eigenvectors(), MatrixBase::eigenvalues()
310       * \pre The eigenvalues and eigenvectors of a positive-definite matrix
327 …eigen_assert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenv…
335       * \pre The eigenvalues and eigenvectors of a positive-definite matrix
352 …eigen_assert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenv…
402   * \param matrixQ pointer to the column-major matrix holding the eigenvectors, can be 0
498   * \param[in] computeEigenvectors : whether the eigenvectors have to be computed or not
499 …* \param[out] eivec : The matrix to store the eigenvectors if computeEigenvectors==true. Must be a…
668 …cessary to suppress bogus values when determining maxCoeff and for computing the eigenvectors later
677     // compute the eigenvectors