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On the characterization of strong convergence of an iterative algorithm for a class of multi-valued variational inclusions

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Abstract

This paper introduces an Ishikawa type iterative algorithm for finding approximating solutions of a class of multi-valued variational inclusion problems. Characterization of strong convergence of this iterative method is established.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Shanghai Normal University, Shanghai, China

    L. C. Ceng

  2. A. G. Anderson Graduate School of Management, University of California, Riverside, California

    S. Schaible

  3. Department of Applied Mathematics, National Sun Yat-Sen University, Kaohsiung, Taiwan

    J. C. Yao

Authors
  1. L. C. Ceng
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  2. S. Schaible
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  3. J. C. Yao
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Corresponding author

Correspondence to J. C. Yao.

Additional information

L. C. Ceng’s research partially supported by the Teaching and Research Award Fund for Outstanding Young Teachers in Higher Education Institutions of MOE, China and the Dawn Program Foundation in Shanghai.

S. Schaible’s research partially supported by the National Science Council of Taiwan.

This research was partially supported by the grant NSC 96-2628-E-110-014-MY3.

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Ceng, L.C., Schaible, S. & Yao, J.C. On the characterization of strong convergence of an iterative algorithm for a class of multi-valued variational inclusions. Math Meth Oper Res 70, 1–12 (2009). https://doi.org/10.1007/s00186-008-0227-8

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  • DOI: https://doi.org/10.1007/s00186-008-0227-8

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