Abstract
The approach described in this paper, the shifting strategy, has proved useful in a large variety of contexts. Via the use of this approach we were able to derive algorithms that are the best possible in the sense that the exponential dependence on 1/ɛ cannot be removed unless NP=P. We also note that all other polynomial approximation schemes that we are familiar with rely on dynamic programming. The technique we introduced is an alternative to dynamic programming for the construction of polynomial approximation schemes for strongly NP-complete problems.
This research was supported in part by the National Science Foundation under grant ECS-8204695.
Address after Fall 1984: Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, Chicago, Illinois 60680.
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Hochbaum, D.S., Maass, W. (1984). Approximation schemes for covering and packing problems in robotics and vlsi. In: Fontet, M., Mehlhorn, K. (eds) STACS 84. STACS 1984. Lecture Notes in Computer Science, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-12920-0_5
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DOI: https://doi.org/10.1007/3-540-12920-0_5
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