Convergence analysis of extrapolated relaxed Hermitian and skew- Hermitian splitting iteration methods for large sparse linear complementarity problems

Konferenz: ISCTT 2022 - 7th International Conference on Information Science, Computer Technology and Transportation
27.05.2022 - 29.05.2022 in Xishuangbanna, China

Tagungsband: ISCTT 2022

Seiten: 4Sprache: EnglischTyp: PDF

Autoren:
Duan, Banxiang (Computer Engineering Technical College Guangdong Institute of Science and Technology, Guangdong, China)

Inhalt:
We investigate the problem of solving large sparse linear complementarity problems. First, we propose an extrapolated relaxation Hermitian and skew-Hermitian splitting iteration method for solving large sparse linear complementarity problems. Then, the convergence theory of thematods is established when the coefficient matrix is a positive or an H - matrix.