English

Hypergraph Unreliability in Quasi-Polynomial Time

Data Structures and Algorithms 2024-03-28 v1

Abstract

The hypergraph unreliability problem asks for the probability that a hypergraph gets disconnected when every hyperedge fails independently with a given probability. For graphs, the unreliability problem has been studied over many decades, and multiple fully polynomial-time approximation schemes are known starting with the work of Karger (STOC 1995). In contrast, prior to this work, no non-trivial result was known for hypergraphs (of arbitrary rank). In this paper, we give quasi-polynomial time approximation schemes for the hypergraph unreliability problem. For any fixed ε(0,1)\varepsilon \in (0, 1), we first give a (1+ε)(1+\varepsilon)-approximation algorithm that runs in mO(logn)m^{O(\log n)} time on an mm-hyperedge, nn-vertex hypergraph. Then, we improve the running time to mnO(log2n)m\cdot n^{O(\log^2 n)} with an additional exponentially small additive term in the approximation.

Keywords

Cite

@article{arxiv.2403.18781,
  title  = {Hypergraph Unreliability in Quasi-Polynomial Time},
  author = {Ruoxu Cen and Jason Li and Debmalya Panigrahi},
  journal= {arXiv preprint arXiv:2403.18781},
  year   = {2024}
}

Comments

To appear in STOC 2024

R2 v1 2026-06-28T15:35:52.635Z