Skip to main content

Max-Coloring Paths: Tight Bounds and Extensions

  • Conference paper
Book cover Algorithms and Computation (ISAAC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5878))

Included in the following conference series:

Abstract

The max-coloring problem is to compute a legal coloring of the vertices of a graph G = (V,E) with a non-negative weight function w on V such that \(\sum_{i=1}^k \max_{v\in C_i} w(v_i)\) is minimized, where C 1,...,C k are the various color classes. Max-coloring general graphs is as hard as the classical vertex coloring problem, a special case where vertices have unit weight. In fact, in some cases it can even be harder: for example, no polynomial time algorithm is known for max-coloring trees. In this paper we consider the problem of max-coloring paths and its generalization, max-coloring a broad class of trees and show it can be solved in time \(O(|V| + \text{time for sorting the vertex weights})\). When vertex weights belong to ℝ, we show a matching lower bound of Ω(|V|log|V|) in the algebraic computation tree model.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Brucker, P.: Scheduling Algorithms, 4th edn. Springer, Heidelberg (2004)

    MATH  Google Scholar 

  2. Epstein, L., Levin, A.: On the max-coloring problem. In: Kaklamanis, C., Skutella, M. (eds.) WAOA 2007. LNCS, vol. 4927, pp. 142–155. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  3. Escoffier, B., Monnot, J., Paschos, V.T.: Weighted coloring: further complexity and approximability results. Inf. Process. Lett. 97(3), 98–103 (2006)

    MathSciNet  Google Scholar 

  4. Gabow, H.N., Tarjan, R.E.: A linear-time algorithm for a special case of disjoint set union. J. Comput. Syst. Sci. 30(2), 209–221 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  5. Guan, D.J., Zhu, X.: A coloring problem for weighted graphs. Inf. Process. Lett. 61(2), 77–81 (1997)

    Article  MathSciNet  Google Scholar 

  6. Halldórsson, M.M., Shachnai, H.: Batch coloring flat graphs and thin. In: Gudmundsson, J. (ed.) SWAT 2008. LNCS, vol. 5124, pp. 198–209. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Han, Y., Thorup, M.: Integer sorting in \(O(n \sqrt{\log \log n})\) expected time and linear space. In: Proceedings of the 43th Annual IEEE Symposium on Foundations of Computer Science, pp. 135–144 (2002)

    Google Scholar 

  8. Pemmaraju, S.V., Raman, R.: Approximation algorithms for the max-coloring problem. In: Caires, L., Italiano, G.F., Monteiro, L., Palamidessi, C., Yung, M. (eds.) ICALP 2005. LNCS, vol. 3580, pp. 1064–1075. Springer, Heidelberg (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kavitha, T., Mestre, J. (2009). Max-Coloring Paths: Tight Bounds and Extensions. In: Dong, Y., Du, DZ., Ibarra, O. (eds) Algorithms and Computation. ISAAC 2009. Lecture Notes in Computer Science, vol 5878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10631-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-10631-6_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10630-9

  • Online ISBN: 978-3-642-10631-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics