Finite Convergence of Circumcentered-Reflection Method on Closed Polyhedral Cones in Euclidean Spaces
Hongzhi Liao

TL;DR
This paper proves that the Circumcentered Reflection Method (CRM) finitely converges to a feasible point in the intersection of convex cones and polyhedral sets in Euclidean spaces, improving understanding of its convergence properties.
Contribution
It establishes finite convergence of CRM for intersections of convex cones and polyhedral sets, introduces a modified Sphere-Centered Reflection Method, and analyzes conditions affecting convergence.
Findings
CRM finitely converges in \\mathbb{R}^2 for convex cones.
CRM and its variant can find feasible points in finitely many steps.
Finite convergence may fail outside specific initial regions.
Abstract
The Circumcentered Reflection Method (CRM) is a recently developed projection method for solving convex feasibility problems. It offers preferable convergence properties compared to classic methods such as the Douglas-Rachford and the alternating projections method. In this study, our first main theorem establishes that CRM can identify a feasible point in the intersection of two closed convex cones in \(\mathbb{R}^2\) from any starting point in the Euclidean plane. We then apply this theorem to intersections of two polyhedral sets in \(\mathbb{R}^2\) and two wedge-like sets in \(\mathbb{R}^n\), proving that CRM converges to a point in the intersection from any initial position finitely. Additionally, we introduce a modified technique based on CRM, called the Sphere-Centered Reflection Method. With the help of this technique, we demonstrate that CRM can locate a feasible point in…
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Taxonomy
TopicsNumerical methods in inverse problems · Heat Transfer and Mathematical Modeling · Electromagnetic Scattering and Analysis
