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February 21, 2026Mathematics of Computation0 citations

On the Halpern method with adaptive anchoring parameters

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PPPedro PintoNPNicholas Pischke

Key Points

  • The aim is to establish the convergence of a speeded-up Halpern iteration with adaptive anchoring in nonlinear geodesic settings.
  • Generalization of the Halpern iteration from linear to nonlinear settings in Hadamard spaces.
  • Quantitative study of previous results to apply optimizations.
  • Elimination of weak compactness arguments used in linear settings.
  • Convergence is established for the Halpern iteration in a nonlinear setting.
  • Fast rates of asymptotic regularity are extended to this nonlinear context.
  • New quantitative information on uniform rates of metastability of low complexity is obtained.

Abstract

We establish the convergence of a speed-up version of the Halpern iteration with adaptive anchoring parameters in the general geodesic setting of Hadamard spaces, generalizing a recent result by He, Xu, Dong and Mei Math. Comp. 93 (2024), pp. 327–345 from a linear to a nonlinear setting. In particular, our results extend the fast rates of asymptotic regularity obtained by these authors for the first time to a nonlinear setting. Our approach relies on a quantitative study of these previous results in the linear setting, combined with certain optimizations and an elimination of the weak compactness arguments employed crucially in the linear setting, which not only allows for the lift of the result to a nonlinear setting but also streamlines the previous convergence analysis considerably. This work is set in the context of recent developments in proof mining, and as a byproduct of our approach, we further obtain quantitative information in the form of highly uniform rates of metastability of low complexity, which are new already in the context of Hilbert spaces.

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Cite This Study

Pinto et al. (2026) studied this question.

synapsesocial.com/papers/69994d42873532290d021e06https://doi.org/10.1090/mcom/4182
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