Graph orientation to maximize the minimum weighted outdegree

Yuichi Asahiro, Jesper Jansson, Eiji Miyano, Hirotaka Ono

研究成果: Contribution to journalArticle査読

9 被引用数 (Scopus)

抄録

We study a new variant of the graph orientation problem called MAXMINO where the input is an undirected, edge-weighted graph and the objective is to assign a direction to each edge so that the minimum weighted outdegree (taken over all vertices in the resulting directed graph) is maximized. All edge weights are assumed to be positive integers. This problem is closely related to the job scheduling on parallel machines, called the machine covering problem, where its goal is to assign jobs to parallel machines such that each machine is covered as much as possible. First, we prove that MAXMINO is strongly NP-hard and cannot be approximated within a ratio of 2 ε for any constant ε > 0 in polynomial time unless P=NP, even if all edge weights belong to {1, 2}, every vertex has degree at most three, and the input graph is bipartite or planar. Next, we show how to solve MAXMINO exactly in polynomial time for the special case in which all edge weights are equal to 1. This technique gives us a simple polynomial-time wmax/wmin-approximation algorithm for MAXMINO where wmax and wmin denote the maximum and minimum weights among all the input edges. Furthermore, we also observe that this approach yields an exact algorithm for the general case of MAXMINO whose running time is polynomial whenever the number of edges having weight larger than wmin is at most logarithmic in the number of vertices. Finally, we show that MAXMINO is solvable in polynomial time if the input is a cactus graph.

本文言語英語
ページ(範囲)583-601
ページ数19
ジャーナルInternational Journal of Foundations of Computer Science
22
3
DOI
出版ステータス出版済み - 4 1 2011

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)

フィンガープリント 「Graph orientation to maximize the minimum weighted outdegree」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル