@Article{JICS-4-183,
author = {Hossein Aminikhah and Hossein Moosaei},
title = {Weighted Harmonic Projection Method for Computing the Eigenvalues of Nonsymmetric Matrix},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {4},
number = {3},
pages = {183--190},
abstract = {The harmonic projection method can be used to find interior eigenpairs of large matrices. Given 
a target point or shift  t  to which the needed interior eigenvalues are close, the desired interior eigenpairs are 
the eigenvalues nearest  t  and the associated eigenvectors. In this paper, we present a new algorithm, which 
is called weighted harmonic projection algorithm for computing the eigenvalues of a nonsymmetric matrix. 
The  implementation  of  the  algorithm  has  been  tested  by  numerical  examples,  the  results  show  that  the 
algorithm converges fast and works with high accuracy 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22744.html}
}