Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
184 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Hypergraph Unreliability in Quasi-Polynomial Time (2403.18781v1)

Published 27 Mar 2024 in cs.DS

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 $\varepsilon \in (0, 1)$, we first give a $(1+\varepsilon)$-approximation algorithm that runs in $m{O(\log n)}$ time on an $m$-hyperedge, $n$-vertex hypergraph. Then, we improve the running time to $m\cdot n{O(\log2 n)}$ with an additional exponentially small additive term in the approximation.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (24)
  1. Polynomial time randomized approximation schemes for tutte-gröthendieck invariants: The dense case. Random Struct. Algorithms, 6(4):459–478, 1995.
  2. What are higher-order networks? SIAM Rev., 65(3):686–731, 2023.
  3. Near-linear time samplers for matroid independent sets with applications. arXiv preprint arXiv:2308.09683, August 2023.
  4. Sanjay Kumar Chaturvedi. Network reliability: measures and evaluation. John Wiley & Sons, 2016.
  5. Beyond the quadratic time barrier for network unreliability. In 2024 ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 1542–1567, 2024.
  6. Maximum flow and minimum-cost flow in almost-linear time. In 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS), pages 612–623, 2022.
  7. Charles J Colbourn. The combinatorics of network reliability. Oxford University Press, Inc., 1987.
  8. Isolating Cuts, (Bi-)Submodularity, and Faster Algorithms for Connectivity. In 48th International Colloquium on Automata, Languages, and Programming (ICALP), pages 50:1–50:20, 2021.
  9. William H Cunningham. Decomposition of submodular functions. Combinatorica, 3(1):53–68, 1983.
  10. Minimum cuts and sparsification in hypergraphs. SIAM Journal on Computing, 47(6):2118–2156, 2018.
  11. On the structure of a family of minimal weighted cuts in a graph. Studies in Discrete Optimization (in Russian), (ed. A.A. Fridman), Nauka, Moscow, page 290–306, 1976.
  12. Tight bounds for popping algorithms. Random Structures & Algorithms, 57(2):371–392, 2020.
  13. A polynomial-time approximation algorithm for all-terminal network reliability. SIAM Journal on Computing, 48(3):964–978, 2019.
  14. Random contractions and sampling for hypergraph and hedge connectivity. In 2017 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 1101–1114, 2017.
  15. Random hypergraphs and their applications. Phys. Rev. E, 79:066118, Jun 2009.
  16. Improved bounds and algorithms for graph cuts and network reliability. Random Structures & Algorithms, 52(1):74–135, 2018.
  17. David R. Karger. Global min-cuts in rnc, and other ramifications of a simple min-cut algorithm. In Fourth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), page 21–30, 1993.
  18. David R. Karger. A randomized fully polynomial time approximation scheme for the all-terminal network reliability problem. SIAM Journal on Computing, 29(2):492–514, 1999.
  19. David R. Karger. A fast and simple unbiased estimator for network (un)reliability. In 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS), pages 635–644, 2016.
  20. David R. Karger. Faster (and still pretty simple) unbiased estimators for network (un)reliability. In 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS), pages 755–766, 2017.
  21. David R. Karger. A phase transition and a quadratic time unbiased estimator for network reliability. In 52nd Annual ACM SIGACT Symposium on Theory of Computing (STOC), page 485–495, 2020.
  22. Sketching cuts in graphs and hypergraphs. In 2015 Conference on Innovations in Theoretical Computer Science (ITCS), pages 367–376, 2015.
  23. Monte-carlo approximation algorithms for enumeration problems. Journal of algorithms, 10(3):429–448, 1989.
  24. Leslie G. Valiant. The complexity of enumeration and reliability problems. SIAM Journal on Computing, 8(3):410–421, 1979.

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com