A note on the hybrid steepest descent methods
Koji Aoyama, Yasunori Kimura

TL;DR
This paper establishes a convergence relationship between hybrid steepest descent and Halpern type iterative methods, showing that convergence of one implies convergence of the other under certain conditions.
Contribution
It provides a theoretical link demonstrating that hybrid steepest descent methods converge whenever Halpern type methods do, under specific settings.
Findings
Convergence of hybrid steepest descent methods is guaranteed if Halpern type methods converge.
The paper offers a theoretical framework connecting two iterative approaches.
Results apply under an appropriate mathematical setting.
Abstract
The aim of this paper is to prove that, in an appropriate setting, every iterative sequence generated by the hybrid steepest descent method is convergent whenever so is every iterative sequence generated by the Halpern type iterative method.
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Taxonomy
TopicsOptimization and Variational Analysis · Advanced Optimization Algorithms Research · Adaptive Control of Nonlinear Systems
