Total Matching and Subdeterminants

Luca Ferrarini, Samuel Fiorini, Stefan Kober, Yelena Yuditsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the total matching problem, one is given a graph G with weights on the vertices and edges. The goal is to find a maximum weight set of vertices and edges that is the non-incident union of a stable set and a matching. We consider the natural formulation of the problem as an integer program (IP), with variables corresponding to vertices and edges. Let M=M(G) denote the constraint matrix of this IP. We define Δ(G) as the maximum absolute value of the determinant of a square submatrix of M. We show that the total matching problem can be solved in strongly polynomial time provided Δ(G)≤Δ for some constant Δ∈Z≥1. We also show that the problem of computing Δ(G) admits an FPT algorithm. We also establish further results on Δ(G) when G is a forest.

Original languageEnglish
Title of host publicationCombinatorial Optimization - 8th International Symposium, ISCO 2024, Revised Selected Papers
EditorsAmitabh Basu, Ali Ridha Mahjoub, Ali Ridha Mahjoub, Juan José Salazar González
PublisherSpringer Science and Business Media Deutschland GmbH
Pages192-204
Number of pages13
ISBN (Print)9783031609237
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes
Event8th International Symposium on Combinatorial Optimization, ISCO 2024 - La Laguna, Spain
Duration: 22 May 202424 May 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14594 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Symposium on Combinatorial Optimization, ISCO 2024
Country/TerritorySpain
CityLa Laguna
Period22/05/2424/05/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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