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Strong and Weak Convergence Criteria of Composite Iterative Algorithms for Systems of Generalized Equilibria

Author

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  • Lu-Chuan Ceng
  • Cheng-Wen Liao
  • Chin-Tzong Pang
  • Ching-Feng Wen
  • Zhao-Rong Kong

Abstract

We first introduce and analyze one iterative algorithm by using the composite shrinking projection method for finding a solution of the system of generalized equilibria with constraints of several problems: a generalized mixed equilibrium problem, finitely many variational inequalities, and the common fixed point problem of an asymptotically strict pseudocontractive mapping in the intermediate sense and infinitely many nonexpansive mappings in a real Hilbert space. We prove a strong convergence theorem for the iterative algorithm under suitable conditions. On the other hand, we also propose another iterative algorithm involving no shrinking projection method and derive its weak convergence under mild assumptions. Our results improve and extend the corresponding results in the earlier and recent literature.

Suggested Citation

  • Lu-Chuan Ceng & Cheng-Wen Liao & Chin-Tzong Pang & Ching-Feng Wen & Zhao-Rong Kong, 2014. "Strong and Weak Convergence Criteria of Composite Iterative Algorithms for Systems of Generalized Equilibria," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:513678
    DOI: 10.1155/2014/513678
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    References listed on IDEAS

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    1. Eberhard Zeidler, 1985. "Nonlinear Functional Analysis and its Applications," Springer Books, Springer, number 978-1-4612-5020-3, March.
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