\brief Retruns the y-translation by value. **/

Returns the converged eigenvalues. \return A complex-valued vector containing the eigenvalues. Returned vector type will be `Eigen::Vector<std::compl

\sa MatrixBase::setIdentity() */

\returns the \c w coefficient */

Check new data for predicting, scoring or else.

Get the permutation that was applied to columns of A

r""" The fit function is used to transfer the information of data and return the fit result. Parameters ----------

Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are * Matrix::resize() and Array::resize()

\returns the number of columns. \sa rows(), ColsAtCompileTime*/

Sets all coefficients to zero. */

Resizes the sparse vector to \a rows x \a cols * * This method is provided for compatibility with matrices. * For a column vector, \

\returns the number of rows. \sa cols(), RowsAtCompileTime */

\returns a const expression of the diagonal coefficients. */

\returns the inner size. * * \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension * wit

\brief Returns an expression of the tridiagonal matrix T in the decomposition * * \returns expression object representing the matrix T

Constructs a read-write Map to a sparse matrix of size \a rows x \a cols, containing \a nnz non-zero coefficients, * stored as a sparse format a

Schedule fn() for execution in the pool of threads. The functions are executed in the order in which they are scheduled.

\returns The Euler angles rotation inverse (which is as same as the negative), * (-alpha, -beta, -gamma). */

Sets the default parameters */

Swaps the content of two sparse matrices of the same type. * This is a fast operation that simply swaps the underlying pointers and parameters.

\returns the \c x coefficient */

PushFront inserts w at the beginning of the queue. If queue is full returns w, otherwise returns default-constructed Work.