Skip to main content

Fixed-Parameter and Approximation Algorithms: A New Look

  • Conference paper
Parameterized and Exact Computation (IPEC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8246))

Included in the following conference series:

Abstract

A Fixed-Parameter Tractable (FPT) ρ-approximation algorithm for a minimization (resp. maximization) parameterized problem P is an FPT algorithm that, given an instance (x, k) ∈ P computes a solution of cost at most k ·ρ(k) (resp. k/ρ(k)) if a solution of cost at most (resp. at least) k exists; otherwise the output can be arbitrary. For well-known intractable problems such as the W[1]-hard Clique and W[2]-hard Set Cover problems, the natural question is whether we can get any FPT-approximation. It is widely believed that both Clique and Set-Cover admit no FPT ρ-approximation algorithm, for any increasing function ρ. However, to the best of our knowledge, there has been no progress towards proving this conjecture. Assuming standard conjectures such as the Exponential Time Hypothesis (ETH)[11] and the Projection Games Conjecture (PGC)[18], we make the first progress towards proving this conjecture by showing that

  • Under the ETH and PGC, there exist constants F 1, F 2 > 0 such that the Set Cover problem does not admit a FPT approximation algorithm with ratio \(k^{F_1}\) in \(2^{k^{F_2}}\cdot \text{poly}(N,M)\) time, where N is the size of the universe and M is the number of sets.

  • Unless NP⊆ SUBEXP, for every 1 > δ > 0 there exists a constant F(δ) > 0 such that Clique has no FPT cost approximation with ratio k 1 − δ in \(2^{k^{F}}\cdot \text{poly}(n)\) time, where n is the number of vertices in the graph.

In the second part of the paper we consider various W[1]-hard problems such as Directed Steiner Tree, Directed Steiner Forest, Directed Steiner Network and Minimum Size Edge Cover. For all these problem we give polynomial time f(OPT)-approximation algorithms for some small function f (the largest approximation ratio we give is OPT2). Our results indicate a potential separation between the classes W[1] and W[2]; since no W[2]-hard problem is known to have a polynomial time f(OPT)-approximation for any function f. Finally, we answer a question by Marx [14] by showing the well-studied Strongly Connected Steiner Subgraph problem (which is W[1]-hard and does not have any polynomial time constant factor approximation) has a constant factor FPT-approximation.

A full version of the paper is available at http://arxiv.org/abs/1308.3520

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arora, S., Lund, C.: Approximation algorithms for NP-hard problems. In: Hochbaum, D. (ed.) PWS Publishing Co., Boston (1997)

    Google Scholar 

  2. Bellare, M., Goldwasser, S., Lund, C., Russeli, A.: Efficient probabilistically checkable proofs and applications to approximations. In: STOC (1993)

    Google Scholar 

  3. Cai, L.: Parameterized complexity of cardinality constrained optimization problems. Comput. J. 51(1), 102–121 (2008)

    Article  Google Scholar 

  4. Downey, R., Fellows, M.: Parameterized Complexity. Springer (1999)

    Google Scholar 

  5. Dreyfus, S.E., Wagner, R.A.: The steiner problem in graphs. Networks 1(3) (1971)

    Google Scholar 

  6. Fellows, M.R., Guo, J., Marx, D., Saurabh, S.: Data Reduction and Problem Kernels (Dagstuhl Seminar 12241). Dagstuhl Reports 2(6), 26–50 (2012)

    Google Scholar 

  7. Guo, J., Niedermeier, R., Suchý, O.: Parameterized complexity of arc-weighted directed steiner problems. SIAM J. Discrete Math. 25(2), 583–599 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  8. Gupta, A.: Improved results for directed multicut. In: SODA, pp. 454–455 (2003)

    Google Scholar 

  9. Halperin, E., Krauthgamer, R.: Polylogarithmic inapproximability. In: STOC 2003: Proceedings of the Thirty-Fifth Annual ACM Symposium on Theory of Computing, pp. 585–594. ACM Press, New York (2003)

    Chapter  Google Scholar 

  10. Håstad, J.: Clique is hard to approximate within n 1 − ε. In: FOCS (1996)

    Google Scholar 

  11. Impagliazzo, R., Paturi, R.: On the complexity of k-sat. J. Comput. Syst. Sci. 62(2) (2001)

    Google Scholar 

  12. Khot, S.: On the Unique Games Conjecture. In: FOCS, p. 3 (2005)

    Google Scholar 

  13. Lund, C., Yannakakis, M.: On the hardness of approximating minimization problems. J. ACM 41(5), 960–981 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  14. Marx, D.: Parameterized complexity and approximation algorithms. Comput. J. 51(1) (2008)

    Google Scholar 

  15. Marx, D.: Completely inapproximable monotone and antimonotone parameterized problems. Journal of Computer and System Sciences 79(1) (2013)

    Google Scholar 

  16. Marx, D., Razgon, I.: Constant ratio fixed-parameter approximation of the edge multicut problem. Inf. Process. Lett. 109(20), 1161–1166 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  17. Marx, D., Razgon, I.: Fixed-parameter tractability of multicut parameterized by the size of the cutset. In: STOC, pp. 469–478 (2011)

    Google Scholar 

  18. Moshkovitz, D.: The Projection Games Conjecture and The NP-Hardness of ln n-Approximating Set-Cover. In: Gupta, A., Jansen, K., Rolim, J., Servedio, R. (eds.) APPROX/RANDOM 2012. LNCS, vol. 7408, pp. 276–287. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  19. Moshkovitz, D., Raz, R.: Two-query PCP with subconstant error. J. ACM 57(5) (2010)

    Google Scholar 

  20. Razgon, I., O’Sullivan, B.: Almost 2-sat is fixed-parameter tractable. J. Comput. Syst. Sci. 75(8), 435–450 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  21. Zuckerman, D.: Linear degree extractors and the inapproximability of max clique and chromatic number. In: STOC, pp. 681–690 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Chitnis, R., Hajiaghayi, M., Kortsarz, G. (2013). Fixed-Parameter and Approximation Algorithms: A New Look. In: Gutin, G., Szeider, S. (eds) Parameterized and Exact Computation. IPEC 2013. Lecture Notes in Computer Science, vol 8246. Springer, Cham. https://doi.org/10.1007/978-3-319-03898-8_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-03898-8_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03897-1

  • Online ISBN: 978-3-319-03898-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics