Elsevier

Theoretical Computer Science

Volume 469, 21 January 2013, Pages 105-118
Theoretical Computer Science

FPTASs for trimming weighted trees

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Abstract

Given a tree with nonnegative edge cost and nonnegative vertex weight, and a number k0, we consider the following four cut problems: cutting vertices of weight at most or at least k from the tree by deleting some edges such that the remaining part of the graph is still a tree and the total cost of the edges being deleted is minimized or maximized. The MinMstCut problem (cut vertices of weight at most k and minimize the total cost of the edges being deleted) can be solved in linear time and space and the other three problems are NP-hard. In this paper, we design an O(nl/ε)-time O(l2/ε+n)-space algorithm for MaxMstCut, and O(nl(1/ε+logn))-time O(l2/ε+n)-space algorithms for the other two problems, MinLstCut and MaxLstCut, where n is the number of vertices in the tree, l the number of leaves, and ε>0 the prescribed error bound.

Keywords

Graph cut
FPTAS
Tree
Tree knapsack

Cited by (0)

A preliminary version of this paper was presented in the 4th International Frontiers of Algorithmics Workshop (FAW 2010) and appeared in [19].