An approximation algorithm for the at least version of the generalized minimum spanning tree problem

We consider the at least version of the Generalized Minimum Spanning Tree Problem, denoted by L-GMSTP, which consists in finding a minimum cost tree spanning at least one node from each node set of a complete graph with the nodes partitioned into a given number of node sets called clusters. We ass...

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Main Authors: Petrică C. Pop, Andrei Horvat-Marc, Corina Pop Sitar
Format: Article
Language:English
Published: Publishing House of the Romanian Academy 2006-02-01
Series:Journal of Numerical Analysis and Approximation Theory
Subjects:
Online Access:https://ictp.acad.ro/jnaat/journal/article/view/1016
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author Petrică C. Pop
Andrei Horvat-Marc
Corina Pop Sitar
author_facet Petrică C. Pop
Andrei Horvat-Marc
Corina Pop Sitar
author_sort Petrică C. Pop
collection DOAJ
description We consider the at least version of the Generalized Minimum Spanning Tree Problem, denoted by L-GMSTP, which consists in finding a minimum cost tree spanning at least one node from each node set of a complete graph with the nodes partitioned into a given number of node sets called clusters. We assume that the cost function attached to edges satisfies the triangle inequality and the clusters have sizes bounded by \(\rho\). Under these assumptions we present a 2\(\rho\) approximation algorithm. The algorithm works by rounding an optimal fractional solution to a linear programming relaxation. Our technique is based on properties of optimal solutions to the linear programming formulation of the minimum spanning tree problem and the parsimonious property of Goemans and Bertsimas.
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spelling doaj.art-87b58ccc7c6e46c7943dac638a9d70ec2022-12-22T02:11:11ZengPublishing House of the Romanian AcademyJournal of Numerical Analysis and Approximation Theory2457-67942501-059X2006-02-01351An approximation algorithm for the at least version of the generalized minimum spanning tree problemPetrică C. Pop0Andrei Horvat-Marc1Corina Pop Sitar2North University of Baia Mare, RomaniaNorth University of Baia Mare, Romania“Babes-Bolyai” University, Cluj-Napoca, RomaniaWe consider the at least version of the Generalized Minimum Spanning Tree Problem, denoted by L-GMSTP, which consists in finding a minimum cost tree spanning at least one node from each node set of a complete graph with the nodes partitioned into a given number of node sets called clusters. We assume that the cost function attached to edges satisfies the triangle inequality and the clusters have sizes bounded by \(\rho\). Under these assumptions we present a 2\(\rho\) approximation algorithm. The algorithm works by rounding an optimal fractional solution to a linear programming relaxation. Our technique is based on properties of optimal solutions to the linear programming formulation of the minimum spanning tree problem and the parsimonious property of Goemans and Bertsimas.https://ictp.acad.ro/jnaat/journal/article/view/1016approximation algorithmsminimum spanning treegeneralized minimum spanning treesinteger programminglinear relaxation
spellingShingle Petrică C. Pop
Andrei Horvat-Marc
Corina Pop Sitar
An approximation algorithm for the at least version of the generalized minimum spanning tree problem
Journal of Numerical Analysis and Approximation Theory
approximation algorithms
minimum spanning tree
generalized minimum spanning trees
integer programming
linear relaxation
title An approximation algorithm for the at least version of the generalized minimum spanning tree problem
title_full An approximation algorithm for the at least version of the generalized minimum spanning tree problem
title_fullStr An approximation algorithm for the at least version of the generalized minimum spanning tree problem
title_full_unstemmed An approximation algorithm for the at least version of the generalized minimum spanning tree problem
title_short An approximation algorithm for the at least version of the generalized minimum spanning tree problem
title_sort approximation algorithm for the at least version of the generalized minimum spanning tree problem
topic approximation algorithms
minimum spanning tree
generalized minimum spanning trees
integer programming
linear relaxation
url https://ictp.acad.ro/jnaat/journal/article/view/1016
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