Improved approximation algorithm for the Dense-3-Subhypergraph Problem
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Abstract (arXiv)
The study of Dense-3-Subhypergraph problem was initiated in Chlamt'ac et al. [Approx'16]. The input is a universe U and collection cal S of subsets of U, each of size 3, and a number k. The goal is to choose a set W of k elements from the universe, and maximize the number of sets, S∈ cal S so that Ssubseteq W. The members in U are called em vertices and the sets of cal S are called the em hyperedges. This is the simplest extension into hyperedges of the case of sets of size 2 which is the well known Dense k-subgraph problem. The best known ratio for the Dense-3-Subhypergraph is O(n0.69783..) by Chlamt'ac et al. We improve this ratio to n0.61802... More importantly, we give a new algorithm that approximates Dense-3-Subhypergraph within a ratio of tilde O(n/k), which improves the ratio of O(n2/k2) of Chlamt'ac et al. We prove that under the em log density conjecture (see Bhaskara et al. [STOC'10]) the ratio cannot be better than Omega(√n) and demonstrate some cases in which this optimum can be attained.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Apr 2017.
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Citing papers per year: 2021: 3.
3 papers.
- 2021Sharp detection boundaries on testing dense subhypergraphcited by 5
- 2021Heterogeneous Dense Subhypergraph Detectioncited by 2
- 2021Information Limits for Detecting a Subhypergraphcited by 2
- 2021Information Limits for Detecting a Subhypergraph5 May 2021
- 2021Heterogeneous Dense Subhypergraph Detection8 Apr 2021
- 2021Sharp detection boundaries on testing dense subhypergraph12 Jan 2021