Approximating the maximum weight cycle/path partition in graphs with weights one and two

Abstract

In this paper, we investigate the maximum weight k-cycle (k-path) partition problem (MaxWkCP/MaxWkPP for short). The input consists of an undirected complete graph \(G=(V,E)\) with \(|V|=kn\), where k, n are positive integers, and a non-negative weight function on E, the objective is to determine n vertex disjoint k-cycles (k-paths), which are cycles (paths) containing exactly k vertices, covering all the vertices such that the total edge weight of these cycles (paths) is as large as possible. We propose improved approximation algorithms for the MaxWkCP/MaxWkPP in graphs with weights one and two. For the MaxWkCP in graphs with weights one and two, we obtain an approximation algorithm having an approximation ratio of \(\frac{37}{48}\) for \(k=6\), which improves upon the best available \(\frac{91}{120}\)-approximation algorithm by Zhao and Xiao 2024a. When \(k=4\), we show that the same algorithm is a \(\frac{7}{8}\)-approximation algorithm and give a tight example. This ratio ties with the state-of-the-art result, also given by Zhao and Xiao 2024a. However, we demonstrate that our algorithm can be applied to the minimization variant of MaxWkCP in graphs with weights one and two and achieve a tight approximation ratio of \(\frac{5}{4}\). For the MaxW5PP in graphs with weights one and two, we devise a novel \(\frac{19}{24}\)-approximation algorithm by combining two separate algorithms, each of which handles one of the two complementary scenarios of the optimal solution well. This ratio is better than the previous best ratio of \(\frac{3}{4}\) due to Li and Yu 2023.