On the Parameterized Complexity of Symmetric Directed Multicut

Authors Eduard Eiben , Clément Rambaud, Magnus Wahlström



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Author Details

Eduard Eiben
  • Department of Computer Science, Royal Holloway, University of London, Egham, UK
Clément Rambaud
  • DIENS, École Normale Supérieure, CNRS, PSL University, Paris, France
Magnus Wahlström
  • Department of Computer Science, Royal Holloway, University of London, Egham, UK

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Eduard Eiben, Clément Rambaud, and Magnus Wahlström. On the Parameterized Complexity of Symmetric Directed Multicut. In 17th International Symposium on Parameterized and Exact Computation (IPEC 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 249, pp. 11:1-11:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/LIPIcs.IPEC.2022.11

Abstract

We study the problem Symmetric Directed Multicut from a parameterized complexity perspective. In this problem, the input is a digraph D, a set of cut requests C = {(s₁,t₁),…,(s_l,t_l)} and an integer k, and the task is to find a set X ⊆ V(D) of size at most k such that for every 1 ≤ i ≤ l, X intersects either all (s_i,t_i)-paths or all (t_i,s_i)-paths. Equivalently, every strongly connected component of D-X contains at most one vertex out of s_i and t_i for every i. This problem is previously known from research in approximation algorithms, where it is known to have an O(log k log log k)-approximation. We note that the problem, parameterized by k, directly generalizes multiple interesting FPT problems such as (Undirected) Vertex Multicut and Directed Subset Feedback Vertex Set. We are not able to settle the existence of an FPT algorithm parameterized purely by k, but we give three partial results: An FPT algorithm parameterized by k+l; an FPT-time 2-approximation parameterized by k; and an FPT algorithm parameterized by k for the special case that the cut requests form a clique, Symmetric Directed Multiway Cut. The existence of an FPT algorithm parameterized purely by k remains an intriguing open possibility.

Subject Classification

ACM Subject Classification
  • Theory of computation → Fixed parameter tractability
Keywords
  • Parameterized complexity
  • directed graphs
  • graph separation problems

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References

  1. Amit Agarwal, Noga Alon, and Moses Charikar. Improved approximation for directed cut problems. In STOC, pages 671-680. ACM, 2007. Google Scholar
  2. Nicolas Bousquet, Jean Daligault, and Stéphan Thomassé. Multicut is FPT. SIAM J. Comput., 47(1):166-207, 2018. Google Scholar
  3. Jianer Chen, Yang Liu, Songjian Lu, Barry O'Sullivan, and Igor Razgon. A fixed-parameter algorithm for the directed feedback vertex set problem. J. ACM, 55(5), 2008. URL: https://doi.org/10.1145/1411509.1411511.
  4. Joseph Cheriyan, Howard J. Karloff, and Yuval Rabani. Approximating directed multicuts. Comb., 25(3):251-269, 2005. Google Scholar
  5. Rajesh Hemant Chitnis, Marek Cygan, Mohammad Taghi Hajiaghayi, and Dániel Marx. Directed subset feedback vertex set is fixed-parameter tractable. ACM Trans. Algorithms, 11(4):28:1-28:28, 2015. Google Scholar
  6. Rajesh Hemant Chitnis, MohammadTaghi Hajiaghayi, and Dániel Marx. Fixed-parameter tractability of directed multiway cut parameterized by the size of the cutset. SIAM J. Comput., 42(4):1674-1696, 2013. Google Scholar
  7. Julia Chuzhoy and Sanjeev Khanna. Polynomial flow-cut gaps and hardness of directed cut problems. J. ACM, 56(2):6:1-6:28, 2009. Google Scholar
  8. Marek Cygan, Fedor V Fomin, Łukasz Kowalik, Daniel Lokshtanov, Dániel Marx, Marcin Pilipczuk, Michał Pilipczuk, and Saket Saurabh. Parameterized algorithms, volume 5. Springer, 2015. Google Scholar
  9. Guy Even, Joseph Naor, Satish Rao, and Baruch Schieber. Divide-and-conquer approximation algorithms via spreading metrics. J. ACM, 47(4):585-616, 2000. Google Scholar
  10. Anupam Gupta. Improved results for directed multicut. In SODA, pages 454-455. ACM/SIAM, 2003. Google Scholar
  11. Eun Jung Kim, Stefan Kratsch, Marcin Pilipczuk, and Magnus Wahlström. Directed flow-augmentation. In STOC, pages 938-947. ACM, 2022. Google Scholar
  12. Philip N. Klein, Serge A. Plotkin, Satish Rao, and Éva Tardos. Approximation algorithms for steiner and directed multicuts. J. Algorithms, 22(2):241-269, 1997. Google Scholar
  13. Stefan Kratsch, Marcin Pilipczuk, Michal Pilipczuk, and Magnus Wahlström. Fixed-parameter tractability of multicut in directed acyclic graphs. SIAM J. Discret. Math., 29(1):122-144, 2015. Google Scholar
  14. Daniel Lokshtanov, M. S. Ramanujan, Saket Saurabh, and Meirav Zehavi. Parameterized complexity and approximability of directed odd cycle transversal. In SODA, pages 2181-2200. SIAM, 2020. Google Scholar
  15. Dániel Marx and Igor Razgon. Fixed-parameter tractability of multicut parameterized by the size of the cutset. SIAM J. Comput., 43(2):355-388, 2014. Google Scholar
  16. Dániel Marx. Parameterized graph separation problems. Theoretical Computer Science, 351(3):394-406, 2006. Parameterized and Exact Computation. URL: https://doi.org/10.1016/j.tcs.2005.10.007.
  17. Dániel Marx and Igor Razgon. Fixed-parameter tractability of multicut parameterized by the size of the cutset, 2013. URL: http://arxiv.org/abs/1010.3633.
  18. Moni Naor, Leonard J. Schulman, and Aravind Srinivasan. Splitters and near-optimal derandomization. In FOCS, pages 182-191. IEEE Computer Society, 1995. Google Scholar
  19. Marcin Pilipczuk and Magnus Wahlström. Directed multicut is W[1]-hard, even for four terminal pairs. ACM Trans. Comput. Theory, 10(3):13:1-13:18, 2018. URL: https://doi.org/10.1145/3201775.
  20. M. S. Ramanujan and Saket Saurabh. Linear-time parameterized algorithms via skew-symmetric multicuts. ACM Trans. Algorithms, 13(4):46:1-46:25, 2017. Google Scholar
  21. Bruce A. Reed, Kaleigh Smith, and Adrian Vetta. Finding odd cycle transversals. Oper. Res. Lett., 32(4):299-301, 2004. URL: https://doi.org/10.1016/j.orl.2003.10.009.
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