A PTAS for Weighted Triangle-free 2-Matching
Miguel Bosch-Calvo, Fabrizio Grandoni, Yusuke Kobayashi, Takashi Noguchi

TL;DR
This paper introduces a Polynomial-Time Approximation Scheme (PTAS) for the Weighted Triangle-Free 2-Matching problem, achieving near-optimal solutions efficiently using local search and advanced analysis.
Contribution
It provides the first PTAS for WTF2M, improving upon the simple 2/3 approximation and addressing a problem with connections to TSP and network design.
Findings
Developed a simple local-search algorithm for WTF2M.
Proved the algorithm achieves a (1-ε)-approximation for any ε>0.
Established a non-trivial analysis ensuring polynomial runtime and approximation quality.
Abstract
In the Weighted Triangle-Free 2-Matching problem (WTF2M), we are given an undirected edge-weighted graph. Our goal is to compute a maximum-weight subgraph that is a 2-matching (i.e., no node has degree more than ) and triangle-free (i.e., it does not contain any cycle with edges). One of the main motivations for this and related problems is their practical and theoretical connection with the Traveling Salesperson Problem and with some -connectivity network design problems. WTF2M is not known to be NP-hard and at the same time no polynomial-time algorithm to solve it is known in the general case (polynomial-time algorithms are known only for some special cases). The best-known (folklore) approximation algorithm for this problem simply computes a maximum-weight 2-matching, and then drops the cheapest edge of each triangle: this gives a approximation. In this paper we…
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
TopicsComplexity and Algorithms in Graphs · Optimization and Search Problems · Vehicle Routing Optimization Methods
