On the Convex Feasibility Problem
Laura Maruster, Stefan Maruster

TL;DR
This paper investigates the convergence of projection algorithms for convex feasibility problems, focusing on a specific challenging case where the intersection is bounded but has an empty interior, providing partial solutions in three-dimensional space.
Contribution
It offers a partial solution for the convex feasibility problem in R3 when the intersection's interior is empty but the intersection is bounded, addressing an unsolved case.
Findings
Regularity property holds for two convex sets in R3 under the specified conditions.
Provides partial theoretical understanding of the convergence in complex intersection scenarios.
Abstract
The convergence of the projection algorithm for solving the convex feasibility problem for a family of closed convex sets, is in connection with the regularity properties of the family. In the paper [18] are pointed out four cases of such a family depending of the two characteristics: the emptiness and boudedness of the intersection of the family. The case four (the interior of the intersection is empty and the intersection itself is bounded) is unsolved. In this paper we give a (partial) answer for the case four: in the case of two closed convex sets in R3 the regularity property holds.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptimization and Variational Analysis · Advanced Optimization Algorithms Research · Fixed Point Theorems Analysis
