TY - JOUR
T1 - Weighted Harmonic Projection Method for Computing the Eigenvalues of Nonsymmetric Matrix
AU - Hossein Aminikhah and Hossein Moosaei
JO - Journal of Information and Computing Science
VL - 3
SP - 183
EP - 190
PY - 2024
DA - 2024/01
SN - 4
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22744.html
KW - Harmonic projection method, Nonsymmetric matrix, Weighted Arnoldi, Weighted harmonic. 

AB - 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