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Bregman Distance and Strong Convergence of Proximal-Type Algorithms

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  • Li-Wei Kuo
  • D. R. Sahu

Abstract

The purpose of this paper is to discuss some fundamental properties of Bregman distance, generalized projection operators, firmly nonexpansive mappings, and resolvent operators of set-valued monotone operators corresponding to a functional . We further study some proximal point algorithms for finding zeros of monotone operators and solving generalized mixed equilibrium problems in Banach spaces. Our results improve and extend some recent results concerning generalized projection operators corresponding to Bregman distance.

Suggested Citation

  • Li-Wei Kuo & D. R. Sahu, 2013. "Bregman Distance and Strong Convergence of Proximal-Type Algorithms," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-12, July.
    • Handle: RePEc:hin:jnlaaa:590519
    DOI: 10.1155/2013/590519
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    Cited by:

    1. Kumar, Ajay & Thakur, Balwant Singh & Postolache, Mihai, 2024. "Dynamic stepsize iteration process for solving split common fixed point problems with applications," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 218(C), pages 498-511.

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