A Deterministic Approximation Algorithm for Maximum 2-Path Packing

This paper deals with the maximum-weight 2-path packing problem (M2PP), which is the problem of computing a set of vertex-disjoint paths of length 2 in a given edge-weighted complete graph so that the total weight of edges in the paths is maximized. Previously, Hassin and Rubinstein gave a randomized cubic-time approximation algorithm for M2PP which achieves an expected ratio of 35 67 - 0.5223 - for any constant > 0. We refine their algorithm and derandomize it to obtain a deterministic cubic-time approximation algorithm for the problem which achieves a better ratio (namely, 0.5265 - for any constant > 0).

• Type: Journal
• Year: 2010
• Where: IEICET
• Authors: Ruka Tanahashi, Zhi-Zhong Chen
• Keywords: 2-path Packing Problem, Applied Computing, Cubic-time Approximation Algorithm, IEICET 2010, Randomized Cubic-time Approximation