About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I

Research Article

Modified LPMHSS Method for a Class of Complex Symmetric Linear Systems

Download(Requires a free EAI acccount)
4 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-72792-5_14,
        author={Shi-Liang Wu and Cui-Xia Li},
        title={Modified LPMHSS Method for a Class of Complex Symmetric Linear Systems},
        proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I},
        proceedings_a={SIMUTOOLS},
        year={2021},
        month={4},
        keywords={Complex symmetric linear system Modified LPMHSS method Convergence},
        doi={10.1007/978-3-030-72792-5_14}
    }
    
  • Shi-Liang Wu
    Cui-Xia Li
    Year: 2021
    Modified LPMHSS Method for a Class of Complex Symmetric Linear Systems
    SIMUTOOLS
    Springer
    DOI: 10.1007/978-3-030-72792-5_14
Shi-Liang Wu1, Cui-Xia Li1
  • 1: School of Mathematics, Yunnan Normal University, Kunming

Abstract

In this paper, a modified LPMHSS (MLPMHSS) method is proposed to solve the problem of a class of complex symmetric linear systems with strong Hermitian parts. Theoretical analysis shows that the MLPMHSS method can converge to the unique solution of linear equations under appropriate conditions. Numerical experiments show that the method is effective.

Keywords
Complex symmetric linear system Modified LPMHSS method Convergence
Published
2021-04-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-72792-5_14
Copyright © 2020–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL