A matter of degree:: Improved approximation algorithms for degree-bounded minimum spanning trees

被引:47
作者
Könemann, J [1 ]
Ravi, R [1 ]
机构
[1] Carnegie Mellon Univ, Grad Sch Ind Adm, Pittsburgh, PA 15213 USA
关键词
approximation algorithms; network algorithms; bicriteria approximation; spanning trees; degree-bounded spanning trees; Lagrangean relaxation;
D O I
10.1137/S009753970036917X
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we present a new bicriteria approximation algorithm for the degree-bounded minimum spanning tree problem. I this problem, we are given an undirected graph, a nonnegative cost function on the edges, and a positive integer B, and the goal is to find a minimum-cost spanning tree T with maximum degree at most B*. In an n-node graph, our algorithm finds a spanning tree with maximum degree O (B* + log n) and cost O (opt B*), where opt B* is the minimum cost of any spanning tree whose maximum degree is at most B* Our algorithm uses ideas from Lagrangean duality. We show how a set of optimum Lagrangean multipliers yields bounds on both the degree and the cost of the computed solution.
引用
收藏
页码:1783 / 1793
页数:11
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