Unsplittable Multicommodity Flows in Outerplanar Graphs

๐Ÿ“… 2025-05-19
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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 $frac{18}{5} d_{max}$โ€”where $d_{max}$ denotes the maximum demandโ€”we 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.

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๐Ÿ“ 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.
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Study unsplittable multicommodity flows in outerplanar graphs
Verify cut-condition suffices for routing demands unsplittably
Bound edge capacity excess by 18/5 times maximum demand
Innovation

Methods, ideas, or system contributions that make the work stand out.

Unsplit multicommodity flows in outerplanar graphs
Cut-condition ensures single path routing
Edge capacity exceeded by 18/5*d_max
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David Alem'an-Espinosa
Department of Combinatorics and Optimization, University of Waterloo, Waterloo, Canada
Nikhil Kumar
Nikhil Kumar
University of Waterloo
AlgorithmsDiscrete Mathematics