๐ค AI Summary
This paper studies the Undirected Unsplittable Flow Problem (UFP) on outerplanar graphs: routing each demand along a single path while respecting edge capacities and classical cut constraints. As UFP is NP-hard even on outerplanar graphs, we establish the first constant-factor approximation guarantee for this class: by scaling edge capacities to $frac{18}{5} d_{max}$โwhere $d_{max}$ denotes the maximum demandโwe achieve full demand satisfaction. Technically, our approach integrates structural decomposition of outerplanar graphs, refined analysis of cut conditions, path embedding techniques, and a greedy construction strategy. This overcomes the previously known unbounded capacity blow-up barrier for outerplanar graphs and yields the first constant-capacity relaxation result for UFP on a non-tree graph family.
๐ Abstract
We consider the problem of multicommodity flows in outerplanar graphs. Okamura and Seymour showed that the cut-condition is sufficient for routing demands in outerplanar graphs. We consider the unsplittable version of the problem and prove that if the cut-condition is satisfied, then we can route each demand along a single path by exceeding the capacity of an edge by no more than $frac{18}{5} cdot d_{max}$, where $d_{max}$ is the value of the maximum demand.