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Fast Approximate PCPs for Multidimensional Bin-Packing Problems

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Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques (RANDOM 1999, APPROX 1999)

Abstract

We consider approximate PCPs for multidimensional bin-packing problems. In particular, we show how a verifier can be quickly convinced that a set of multidimensional blocks can be packed into a small number of bins. The running time of the verifier is bounded by O(T(n)), where T(n) is the time required to test for heaviness. We give heaviness testers that can test heaviness of an element in the domain [1, ...,n]d in time O((log n)d). We also also give approximate PCPs with efficient verifiers for recursive bin packing and multidimensional routing.

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© 1999 Springer-Verlag Berlin Heidelberg

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Batu, T., Rubinfeld, R., White, P. (1999). Fast Approximate PCPs for Multidimensional Bin-Packing Problems. In: Hochbaum, D.S., Jansen, K., Rolim, J.D.P., Sinclair, A. (eds) Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques. RANDOM APPROX 1999 1999. Lecture Notes in Computer Science, vol 1671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48413-4_25

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  • DOI: https://doi.org/10.1007/978-3-540-48413-4_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66329-4

  • Online ISBN: 978-3-540-48413-4

  • eBook Packages: Springer Book Archive

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