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Bibliographic Details
Main Authors: He, Songnian, Xu, Hong-Kun, Dong, Qiao-Li, Mei, Na
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2505.10807
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Table of Contents:
  • We propose an adaptive way to choose the anchoring parameters for the Halpern iteration to find a fixed point of a nonexpansive mapping in a real Hilbert space. We prove strong convergence of this adaptive Halpern iteration and obtain the rate of asymptotic regularity at least O(1/k), where k is the number of iterations. Numerical experiments are also provided to show advantages and outperformance of our adaptive Halpern algorithm over the standard Halpern algorithm.