Convergence analysis of variants of the averaged alternating modified reflections method
Shin-ya Matsushita

TL;DR
This paper introduces new variants of the AAMR method for best approximation problems, demonstrating their convergence, convergence rate, and finite termination under certain conditions.
Contribution
The paper develops and analyzes new variants of the AAMR method, providing convergence guarantees and finite termination results.
Findings
Weak convergence established under mild constraints
Convergence rate of the proposed variants shown
Finite termination property proven under interior-point-like condition
Abstract
This paper presents new variants of the averaged alternating modified reflections (AAMR) method for the best approximation problem. Under a mild constraint qualification, we first show its weak convergence and then establish a convergence rate. Furthermore, under a standard interior-point-like condition, we show that the method has a finite termination property.
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Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Optimization Algorithms Research · Numerical methods in inverse problems
