Transversal Rank, Conformality and Enumeration
Martin Schirneck

TL;DR
This paper introduces new algorithms for recognizing hypergraphs with a given transversal rank, improving runtime dependence on the number of edges, and explores the complexity of related enumeration problems.
Contribution
It presents an algorithm with improved runtime for recognizing hypergraphs of a certain transversal rank and introduces a look-ahead method for enumerating minimal hitting sets.
Findings
New algorithm with runtime O(Δ^{k-2} mn^{k-1}) for recognizing hypergraphs with transversal rank ≥ k.
A look-ahead technique for finding higher-order extensions and enumerating minimal hitting sets.
Establishes equivalences between improving recognition algorithms and breakthroughs in hypergraph enumeration.
Abstract
The transversal rank of a hypergraph is the maximum size of its minimal hitting sets. Deciding, for an -vertex, -edge hypergraph and an integer , whether the transversal rank is at least takes time with an algorithm that is known since the 70s. It essentially matches an ETH-lower bound by Ara\'ujo, Bougeret, Campos, and Sau [Algorithmica 2023] and Dublois, Lampis, and Paschos [TCS 2022]. Many hypergraphs seen in practice have much more edges than vertices, . This raises the question whether an improvement of the run time dependency on can be traded for an increase in the dependency on . Our first result is an algorithm to recognize hypergraphs with transversal rank at least in time , where is the maximum degree. Our main technical contribution is a ``look-ahead'' method that…
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Taxonomy
TopicsAdvanced Graph Theory Research · Limits and Structures in Graph Theory · Complexity and Algorithms in Graphs
