Dağ, HasanYetkin, E. FatihDağ, Hasan2019-06-272019-06-2720111978-0-7354-0928-60094-243X0094-243Xhttps://hdl.handle.net/20.500.12469/1015https://doi.org/10.1063/1.3663510Several areas of applications such as model order reduction preconditioner design and eigenvalue problems for spectral projectors can be found in the literature. In this paper a fast and sparsity preserving approach for computing the spectral projectors is proposed. The suggested approach can be used in both Newton iteration and integral representation based methods. A comparison of the original and the suggested approaches in terms of computation time sparsity preservation and accuracy is presented in this paper.eninfo:eu-repo/semantics/openAccessModel Order ReductionSpectral ProjectorsSparse Approximate InverseConference Object1368WOS:00029956920006510.1063/1.36635102-s2.0-83655192603N/AN/A