* Return the array of column-to-supernode mapping */

\returns number of columns of the factored matrix */

complement

Apply H -> Q'HQ, where Q is from a double shift QR decomposition

\returns a vector expression of the main diagonal */

\returns the matrix or vector obtained by evaluating this expression. * * Notice that in the case of a plain matrix or vector (not an expr

\sa MatrixBase::fill() */

to do

\returns the current flags */

\returns Success if the iterations converged, and NoConvergence otherwise. */

\returns a const pointer to the array of the number of non zeros of the inner vectors. * This function is aimed at interoperability with other l

\returns whether \c *this is in compressed form. */

\internal \returns b if a<=0, and returns a otherwise. */

\internal */

\brief Constructs the Hessenberg matrix H in the decomposition * * \returns expression object representing the matrix H * * \p

\brief Returns the unitary matrix Q in the decomposition * * \returns object representing the matrix Q * * \pre Either the con

Overwrite `dest` with \f$Q'TQ = RQ + sI\f$, where \f$T\f$ is the input matrix `mat`, and \f$s\f$ is the shift. The result is a tridiagonal matrix. \p

Returns an AlignedBox that is the union of \a b and \c *this. * \note Merging with an empty box may result in a box bigger than \c *this. * \sa

r""" This function predicts class label for given data. Parameters ---------- X : array-like, shape(n_samples, p_feat

r""" Predict on given data. Parameters ---------- X : array-like, shape(n_samples, p_features) Sample mat