Research article

A modified proximal point algorithm in geodesic metric space

  • Received: 27 July 2022 Revised: 18 November 2022 Accepted: 23 November 2022 Published: 05 December 2022
  • MSC : 47H09, 47H10

  • Proximal point algorithm is one of the most popular technique to find either zero of monotone operator or minimizer of a lower semi-continuous function. In this paper, we propose a new modified proximal point algorithm for solving minimization problems and common fixed point problems in CAT(0) spaces. We prove $ \Delta $ and strong convergence of the proposed algorithm. Our results extend and improve the corresponding recent results in the literature.

    Citation: Chanchal Garodia, Izhar Uddin, Bahaaeldin Abdalla, Thabet Abdeljawad. A modified proximal point algorithm in geodesic metric space[J]. AIMS Mathematics, 2023, 8(2): 4304-4320. doi: 10.3934/math.2023214

    Related Papers:

  • Proximal point algorithm is one of the most popular technique to find either zero of monotone operator or minimizer of a lower semi-continuous function. In this paper, we propose a new modified proximal point algorithm for solving minimization problems and common fixed point problems in CAT(0) spaces. We prove $ \Delta $ and strong convergence of the proposed algorithm. Our results extend and improve the corresponding recent results in the literature.



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