Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    An inertial triple-projection algorithm for solving the split feasibility problem

    91245.pdf (520.3Kb)
    Access Status
    Open access
    Authors
    Dang, Y.
    Ang, M.
    Sun, Jie
    Date
    2023
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Dang, Y. and Ang, M. and Sun, J. 2023. An inertial triple-projection algorithm for solving the split feasibility problem. Journal of Industrial and Management Optimization. 19 (3): pp. 1813-1826.
    Source Title
    Journal of Industrial and Management Optimization
    DOI
    10.3934/jimo.2022019
    ISSN
    1547-5816
    Faculty
    Faculty of Science and Engineering
    School
    School of Elec Eng, Comp and Math Sci (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/91421
    Collection
    • Curtin Research Publications
    Abstract

    This paper proposes a new inertial triple-projection algorithm for solving the split feasibility problem. The process of projections is divided into three parts. Each part adopts a different variable stepsize to obtain its projection point, which is different from the existing extragradient methods. Flexible rules are employed for selecting the stepsizes and the inertial technique is used for improving the convergence. Convergence results are proven. Numerical experiments show that the proposed method converges more quickly than the general CQ algorithm.

    Related items

    Showing items related by title, author, creator and subject.

    • Inertial accelerated algorithms for solving a split feasibility problem
      Dang, Y.; Sun, Jie; Xu, Honglei (2017)
      Inspired by the inertial proximal algorithms for finding a zero of a maximal monotone operator, in this paper, we propose two inertial accel erated algorithms to solve the split feasibility problem. One is an inertial ...
    • Convergence analysis of a parallel projection algorithm for solving convex feasibility problems
      Dang, Y.; Meng, F.; Sun, Jie (2016)
      The convex feasibility problem (CFP) is a classical problem in nonlinear analysis. In this paper, we propose an inertial parallel projection algorithm for solving CFP. Different from the previous algorithms, the proposed ...
    • Adaptive antenna array beamforming using a concatenation of recursive least square and least mean square algorithms
      Srar, Jalal Abdulsayed (2011)
      In recent years, adaptive or smart antennas have become a key component for various wireless applications, such as radar, sonar and cellular mobile communications including worldwide interoperability for microwave ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.