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

Default constructor Start a series of r trials:

Constructs a uniform scaling from scale factor \a s */

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

\returns the number of rows of the represented matrix. */

\returns an expression of the transposed of the factored matrix. * * A typical usage is to solve for the transposed problem A^T x = b:

Sets all coefficients to zero. */

Returns the eigenvectors associated with the converged eigenvalues. \param nvec The number of eigenvectors to return. \return A complex-valued matri

\returns true if the matrix of which *this is the LU decomposition is invertible. * * \note This method has to determine which pivots shou

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