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Fully Polynomial Approximation Schemes for Decomposable Partition Problems

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Operations Research Proceedings 1999

Part of the book series: Operations Research Proceedings 1999 ((ORP,volume 1999))

Abstract

A partition type extremum problem (problem PText) is formulated. It is assumed that the objective function of this problem can be represented as a composition of some auxiliary functions which can recursively be computed. Properties of the problem PText are established which are sufficient for developing a fully polynomial approximation scheme (FPAS) for this problem. Such a scheme is described. Several known discrete optimization and scheduling problems can be formulated in terms of the problem PText. The suggested approach provides original FPASes for some problems, generalizes several exisiting FPASes and gives clear exposition of their main ideas.

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References

  1. M. Y. Kovalyov and W. Kubiak. (1998). “A fully polynomial approximation scheme for minimizing makespan of deteriorating jobs,” Journal of Heuristics 3, 287–297.

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  2. M. Y. Kovalyov and W. Kubiak. (1999). “A fully polynomial approximation scheme for weighted earliness-tardiness problem,” Operations Research, to appear.

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  3. W. Kubiak and M. Y. Kovalyov. (1999). “A fully polynomial approximation scheme for CTV problem,” Working paper, Faculty of Business Admistration, Memorial University of Newfoundland, Canada.

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  4. G.J. Woeginger. (1998). “When does a dynamic programming formulation guarantee the existence of an FPTAS ?”, Report Woe-27, April 1998, TU Graz, Austria.

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© 2000 Springer-Verlag Berlin Heidelberg

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Kovalyov, M.Y., Kubiak, W. (2000). Fully Polynomial Approximation Schemes for Decomposable Partition Problems. In: Inderfurth, K., Schwödiauer, G., Domschke, W., Juhnke, F., Kleinschmidt, P., Wäscher, G. (eds) Operations Research Proceedings 1999. Operations Research Proceedings 1999, vol 1999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58300-1_61

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  • DOI: https://doi.org/10.1007/978-3-642-58300-1_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67094-0

  • Online ISBN: 978-3-642-58300-1

  • eBook Packages: Springer Book Archive

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