Approximation theory in combinatorial optimization. Application to the generalized minimum spanning tree problem

We present an overview of the approximation theory in combinatorial optimization. As an application we consider the Generalized Minimum Spanning Tree (GMST) problem which is defined on an undirected complete graph with the nodes partitioned into clusters and non-negative costs are associated t...

Full description

Bibliographic Details
Main Authors: Petrică C. Pop, G. Still, W. Kern
Format: Article
Language:English
Published: Publishing House of the Romanian Academy 2005-02-01
Series:Journal of Numerical Analysis and Approximation Theory
Subjects:
Online Access:https://www.ictp.acad.ro/jnaat/journal/article/view/795
_version_ 1818520935049723904
author Petrică C. Pop
G. Still
W. Kern
author_facet Petrică C. Pop
G. Still
W. Kern
author_sort Petrică C. Pop
collection DOAJ
description We present an overview of the approximation theory in combinatorial optimization. As an application we consider the Generalized Minimum Spanning Tree (GMST) problem which is defined on an undirected complete graph with the nodes partitioned into clusters and non-negative costs are associated to the edges. This problem is NP-hard and it is known that a polynomial approximation algorithm cannot exist. We present an in-approximability result for the GMST problem and under special assumptions: cost function satisfying the triangle inequality and with cluster sizes bounded by \(\rho\), we give an approximation algorithm with ratio \(2 \rho\).
first_indexed 2024-12-11T01:44:18Z
format Article
id doaj.art-a1c6d192cdce478496451c39439d45bd
institution Directory Open Access Journal
issn 2457-6794
2501-059X
language English
last_indexed 2024-12-11T01:44:18Z
publishDate 2005-02-01
publisher Publishing House of the Romanian Academy
record_format Article
series Journal of Numerical Analysis and Approximation Theory
spelling doaj.art-a1c6d192cdce478496451c39439d45bd2022-12-22T01:24:56ZengPublishing House of the Romanian AcademyJournal of Numerical Analysis and Approximation Theory2457-67942501-059X2005-02-01341Approximation theory in combinatorial optimization. Application to the generalized minimum spanning tree problemPetrică C. Pop0G. Still1W. Kern2North University of Baia Mare, RomaniaUniversity of Twente, NetherlandsUniversity of Twente, NetherlandsWe present an overview of the approximation theory in combinatorial optimization. As an application we consider the Generalized Minimum Spanning Tree (GMST) problem which is defined on an undirected complete graph with the nodes partitioned into clusters and non-negative costs are associated to the edges. This problem is NP-hard and it is known that a polynomial approximation algorithm cannot exist. We present an in-approximability result for the GMST problem and under special assumptions: cost function satisfying the triangle inequality and with cluster sizes bounded by \(\rho\), we give an approximation algorithm with ratio \(2 \rho\).https://www.ictp.acad.ro/jnaat/journal/article/view/795generalized minimum spanning tree problem
spellingShingle Petrică C. Pop
G. Still
W. Kern
Approximation theory in combinatorial optimization. Application to the generalized minimum spanning tree problem
Journal of Numerical Analysis and Approximation Theory
generalized minimum spanning tree problem
title Approximation theory in combinatorial optimization. Application to the generalized minimum spanning tree problem
title_full Approximation theory in combinatorial optimization. Application to the generalized minimum spanning tree problem
title_fullStr Approximation theory in combinatorial optimization. Application to the generalized minimum spanning tree problem
title_full_unstemmed Approximation theory in combinatorial optimization. Application to the generalized minimum spanning tree problem
title_short Approximation theory in combinatorial optimization. Application to the generalized minimum spanning tree problem
title_sort approximation theory in combinatorial optimization application to the generalized minimum spanning tree problem
topic generalized minimum spanning tree problem
url https://www.ictp.acad.ro/jnaat/journal/article/view/795
work_keys_str_mv AT petricacpop approximationtheoryincombinatorialoptimizationapplicationtothegeneralizedminimumspanningtreeproblem
AT gstill approximationtheoryincombinatorialoptimizationapplicationtothegeneralizedminimumspanningtreeproblem
AT wkern approximationtheoryincombinatorialoptimizationapplicationtothegeneralizedminimumspanningtreeproblem