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On the Minimum Caterpillar Problem in Digraphs
Taku OKADA Akira SUZUKI Takehiro ITO Xiao ZHOU
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E97A
No.3
pp.848857 Publication Date: 2014/03/01
Online ISSN: 17451337
DOI: 10.1587/transfun.E97.A.848
Print ISSN: 09168508 Type of Manuscript: PAPER Category: Algorithms and Data Structures Keyword: bounded treewidth graph, caterpillar, dynamic programming, graph algorithm, inapproximability,
Full Text: PDF>>
Summary:
Suppose that each arc in a digraph D = (V,A) has two costs of nonnegative integers, called a spine cost and a leaf cost. A caterpillar is a directed tree consisting of a single directed path (of spine arcs) and leaf vertices each of which is incident to the directed path by exactly one incoming arc (leaf arc). For a given terminal set K ⊆ V, we study the problem of finding a caterpillar in D such that it contains all terminals in K and its total cost is minimized, where the cost of each arc in the caterpillar depends on whether it is used as a spine arc or a leaf arc. In this paper, we first show that the problem is NPhard for any fixed constant number of terminals with K ≥ 3, while it is solvable in polynomial time for at most two terminals. We also give an inapproximability result for any fixed constant number of terminals with K ≥ 3. Finally, we give a lineartime algorithm to solve the problem for digraphs with bounded treewidth, where the treewidth for a digraph D is defined as the one for the underlying graph of D. Our algorithm runs in linear time even if K = O(V), and the hidden constant factor of the running time is just a single exponential of the treewidth.

