The matching augmentation problem: a $\frac{7}{4}$-approximation algorithm

Joe Cheriyan, Jack Dippel, Fabrizio Grandoni, Arindam Khan, Vishnu V. Narayan

Abstract: We present a \(\frac{7}{4}\) approximation algorithm for the matching augmentation problem (MAP): given a multi-graph with edges of cost either zero or one such that the edges of cost zero form a matching, find a 2-edge connected spanning subgraph (2-ECSS) of minimum cost. We first present a reduction of any given MAP instance to a collection of well-structured MAP instances such that the approximation guarantee is preserved. Then we present a \(\frac{7}{4}\) approximation algorithm for a well-structured MAP instance. The algorithm starts with a min-cost 2-edge cover and then applies ear-augmentation steps. We analyze the cost of the ear-augmentations using an approach similar to the one proposed by Vempala and Vetta for the (unweighted) min-size 2-ECSS problem (in: Jansen and Khuller (eds.) Approximation Algorithms for Combinatorial Optimization, Third International Workshop, APPROX 2000, Proceedings, LNCS 1913, pp.262–273, Springer, Berlin, 2000).