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Football Elimination Is Hard to Decide Under the 3-Point-Rule

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Book cover Mathematical Foundations of Computer Science 1999 (MFCS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1672))

Abstract

The “baseball elimination problem” is a classic problem which has already been considered from the computational point of view in the 1960’s. At some stage of the baseball season, there is a set of games which have already been played and there is another set of remaining games. The problem consists in determining for a given team whether or not they are already “eliminated”, i.e., whether they can no longer become champions. Early solutions proposed a network flow approach which resulted in polynomial time algorithms. The interest in this kind of elimination problem was recently revived by Wayne [4] who proved an interesting threshold property which allows one to compute all eliminated teams simultaneously. Namely, there is a constant W* such that a team is eliminated if and only if it can no longer obtain W* or more points. Wayne also describes an algorithm for computing the threshold W* in polynomial time. Gusfield and Martel [2] have generalized the proof of the existence of a threshold to a more general setting which includes European football, where the “3-point-rule” is in effect, i.e., 3 points are awarded for a win and 1 point is awarded for a tie.

In this paper, we show that determining the elimination of a European football team under the 3-point-rule is \( \mathcal{N}\mathcal{P} \)-complete. As a consequence, the generalized threshold result of Gusfield and Martel is of no use for the European football system since computing the corresponding threshold value is hard if \( \mathcal{P} \ne \mathcal{N}\mathcal{P} \). We also show that the elimination problem is still \( \mathcal{N}\mathcal{P} \)-complete if all teams have at most three remaining games each while the problem can be solved in polynomial time if each team has at most two remaining games.

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References

  1. R. K. Ahuja, T. L. Magnanti and J. B. Orlin, Network Flows: Theory, Algorithms, and Applications. Prentice Hall, 1993.

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  2. D. Gusfield and C. Martel, The Structure and Complexity of Sports Elimination Numbers, Tech. Report CSE-99-1, CS Department, Univ. of California, Davis, January 1999.

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  3. S. T. McCormick, Fast algorithms for parametric scheduling come from extensions to parametric maximum flow. In: Proc. of the 28th Annual ACM Symp. on the Theory of Computing (STOC), 319–328, 1996.

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  4. K. D. Wayne, A New Property and a Faster Algorithm for Baseball Elimination, In: Proc. of the 10th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 1999. Preprint available as a link under the URL http://www.cs.princeton.edu/~wayne/research.html

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© 1999 Springer-Verlag Berlin Heidelberg

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Bernholt, T., Gülich, A., Hofmeister, T., Schmitt, N. (1999). Football Elimination Is Hard to Decide Under the 3-Point-Rule. In: Kutyłowski, M., Pacholski, L., Wierzbicki, T. (eds) Mathematical Foundations of Computer Science 1999. MFCS 1999. Lecture Notes in Computer Science, vol 1672. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48340-3_37

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  • DOI: https://doi.org/10.1007/3-540-48340-3_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66408-6

  • Online ISBN: 978-3-540-48340-3

  • eBook Packages: Springer Book Archive

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