\returns A const reference to the vectors containing the alpha values * * This vector permits to reconstruct the j-th eigenvalues as alpha

Compute the LU symbolic factorization of \p matrix using its sparsity pattern. * Several ordering methods can be used at this step. See the PaS

Compute the LL^T symbolic factorization of \p matrix using its sparsity pattern * The result of this operation can be used with successive matri

Compute the LDL^T symbolic factorization of \p matrix using its sparsity pattern * The result of this operation can be used with successive matr

Performs a symbolic decomposition on the sparcity of \a matrix. * * This function is particularly useful when solving for several problems

Performs a symbolic decomposition on the sparcity of \a matrix. * * This function is particularly useful when solving for several problems

Performs a symbolic decomposition on the sparcity of \a matrix. * * This function is particularly useful when solving for several problems

Performs a symbolic decomposition on the sparcity of \a matrix. * * This function is particularly useful when solving for several problems

Performs a symbolic decomposition on the sparcity of \a matrix. * * This function is particularly useful when solving for several problems

Performs a symbolic decomposition on the sparsity pattern of \a matrix. * * This function is particularly useful when solving for several

\returns a row (or column) vector expression representing * whether \b at \b least one coefficient of each respective column (or row) is \c true