Skip to main content

Inverse Shortest Path Models Based on Fundamental Cycle Bases

  • Conference paper
  • First Online:
Operations Research Proceedings 2011

Part of the book series: Operations Research Proceedings ((ORP))

  • 2704 Accesses

Abstract

The inverse shortest path problem has received considerable attention in the literature since the seminal paper by Burton and Toint from 1992. Given a graph and a set of paths the problem is to find arc costs such that all specified paths are shortest paths. The quality of the arc costs is measured by the deviation from some ideal arc costs. Our contribution is a novel modeling technique for this problem based on fundamental cycle bases. For ’LP compatible’ norms we present a cycle basis model equivalent to the LP dual. The LP dual of our cycle basis model is a path based model that only requires a polynomial number of path constraints. This model is valid also for ’LP incompatible’ norms. This yields the first polynomial sized path formulation of the original problem.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Anderson, R.J., Setubal, J.C.: On the parallel implementation of Goldberg’s maximum flow algorithm. In: Proceedings of the fourth annual ACM symposium on Parallel algorithms and architectures, SPAA’92, pp. 168-177, ACM (1992)

    Google Scholar 

  2. Garey, M., Johnson, D.: Computers and Intractability: A Guide to the Theory of NPCompleteness. Freeman (1979)

    Google Scholar 

  3. Goldberg, A.V., Tarjan, R.E.: A new approach to the maximum-flow problem. J. ACM. 35, 921–940 (1988)

    Article  Google Scholar 

  4. Goldfarb, D., Grigoriadis, M.D.: A Computational Comparison of the Dinic and Network Simplex Methods for Maximum Flow. Annals of Operations Research. 78, 83–123 (1988)

    Google Scholar 

  5. Greenlaw, R., Hoover, H.J., Ruzzo, W.L.: Limits to Parallel Computation: P-Completeness Theory. Oxford University Press (1995)

    Google Scholar 

  6. Haugland, D., Eleyat, M., Hetland, M.L.: The maximum flow problem with minimum lot sizes. In: Proceedings of the Second international conference on Computational logistics, ICCL’11, pp. 170-182. Springer-Verlag (2011)

    Google Scholar 

  7. Hong, B., He, Z.: An Asynchronous Multithreaded Algorithm for the Maximum Network Flow Problem with Nonblocking Global Relabeling Heuristic. IEEE Trans. Parallel Distrib. Syst. 22, 1025–1033 (2011)

    Article  Google Scholar 

  8. Jungnickel, D.: Graphs, Networks and Algorithms. Springer (2008)

    Google Scholar 

  9. Karzanov, A.V.: Determining the maximal flow in a network by the method of preflows. Soviet Math. Dokl. 15, 434–437 (1975)

    Google Scholar 

  10. Parmar, P.: Integer Programming Approaches for Equal-Split Network Flow Problems. PhD thesis, Georgia Institute of Technology (2007)

    Google Scholar 

  11. Shiloach, Y., Vishkin, U.: An O(n2 logn) parallel max-flow algorithm. Journal of Algorithms. 3, 128–146 (1982)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mikael Call .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Call, M., Holmberg, K. (2012). Inverse Shortest Path Models Based on Fundamental Cycle Bases. In: Klatte, D., Lüthi, HJ., Schmedders, K. (eds) Operations Research Proceedings 2011. Operations Research Proceedings. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29210-1_13

Download citation

Publish with us

Policies and ethics