Abstract
We consider a finite family of vectors in the plane with sum equal to zero and each vector having at most unit length. It is proved (by constructing an algorithm) that any such family of vectors can be nonstrictly summed within a given unbounded convex set in the plane which satisfies some conditions. The application of the algorithm of the nonstrict vector summation to three scheduling problems with three machines enables one to construct polynomial-time approximation algorithms for their solutions with worst-case absolute errors independent of the number of jobs.
This research was partially supported by the Russian Foundation for Fundamental Research (Grant 93-01-00489) and the International Science Foundation (Grant NQC000).
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Sevast’yanov, S.V. (1996). Nonstrict Vector Summation in Scheduling Problems. In: Korshunov, A.D. (eds) Discrete Analysis and Operations Research. Mathematics and Its Applications, vol 355. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-1606-7_18
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DOI: https://doi.org/10.1007/978-94-009-1606-7_18
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