A column generation algorithm for finding co-3-plexes in chordal graphs
arXiv:2604.00721v1 Announce Type: new Abstract: In this study, we tackle the problem of finding a maximum \emph{co-3-plex}, which is a subset of vertices of an input graph, inducing a subgraph of maximum degree 2. We focus on the class of chordal graphs. By observing that the graph induced by a co-3-plex in a chordal graph is a set of isolated triangles and induced paths, we reduce the problem of finding a maximum weight co-3-plex in a graph $G$ to that of finding a maximum stable set in an auxiliary graph $\mathcal{A}(G)$ of exponential size. This reduction allows us to derive an exponential variable-sized linear programming formulation for the maximum weighted co-3-plex problem. We show that the pricing subproblem of this formulation reduces to solving a maximum vertex and edge weight in
View PDF HTML (experimental)
Abstract:In this study, we tackle the problem of finding a maximum \emph{co-3-plex}, which is a subset of vertices of an input graph, inducing a subgraph of maximum degree 2. We focus on the class of chordal graphs. By observing that the graph induced by a co-3-plex in a chordal graph is a set of isolated triangles and induced paths, we reduce the problem of finding a maximum weight co-3-plex in a graph $G$ to that of finding a maximum stable set in an auxiliary graph $\mathcal{A}(G)$ of exponential size. This reduction allows us to derive an exponential variable-sized linear programming formulation for the maximum weighted co-3-plex problem. We show that the pricing subproblem of this formulation reduces to solving a maximum vertex and edge weight induced path. Such a problem is solvable in polynomial time; therefore, this exhibits a polynomial time column generation algorithm solving the maximum co-3-plex problem on chordal graphs. Moreover, this machinery exhibits a new application for the maximum vertex and edge weighted induced path problems.
Subjects:
Data Structures and Algorithms (cs.DS); Discrete Mathematics (cs.DM)
Cite as: arXiv:2604.00721 [cs.DS]
(or arXiv:2604.00721v1 [cs.DS] for this version)
https://doi.org/10.48550/arXiv.2604.00721
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Alexandre Dupont-Bouillard [view email] [v1] Wed, 1 Apr 2026 10:31:47 UTC (41 KB)
Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
announceapplicationstudyKnowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Transcript for DHH: Future of Programming, AI, Ruby on Rails, Productivity Parenting Lex Fridman Podcast #474
This is a transcript of Lex Fridman Podcast #474 with DHH. The timestamps in the transcript are clickable links that take you directly to that point in the main video. Please note that the transcript is human generated, and may have errors. Here are some useful links: Go back to this episode s main page Watch the full YouTube version of the podcast Table of Contents Here are the loose chapters in the conversation. Click link to jump approximately to that part in the transcript: 0:00 Episode highlight 1:21 Introduction 2:32 Programming 19:57 JavaScript 30:16 Google

Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!