A near-linear time minimum Steiner cut algorithm for planar graphs

Abstract

We consider the Minimum Steiner Cut problem on undirected planar graphs with non-negative edge weights. This problem involves finding the minimum cut of the graph that separates a specified subset $X$ of vertices (terminals) into two parts. This problem is of theoretical interest because it generalizes two classical optimization problems, Minimum $s$-$t$ Cut and Minimum Cut, and of practical importance because of its application to computing a lower bound for Steiner (Subset) TSP. Our algorithm has running time $O(n\log n\log k)$ where $k$ is the number of terminals.

14 pages, 6 figures

References in corpus (1)

• Approximation Algorithms for Covering/Packing Integer Programs