The computational complexity of the elimination problem in generalized sports competitions. Kern, W. and Paulusma, D. Discrete Optimization, 1(2):205--214, November, 2004.
The computational complexity of the elimination problem in generalized sports competitions [link]Paper  doi  abstract   bibtex   
Consider a sports competition among various teams playing against each other in pairs (matches) according to a previously determined schedule. At some stage of the competition one may ask whether a particular team still has a (theoretical) chance to win the competition. The computational complexity of this question depends on the way scores are allocated according to the outcome of a match. For competitions with at most 3 different outcomes of a match the complexity is already known. In practice there are many competitions in which more than 3 outcomes are possible. We determine the complexity of the above problem for competitions with an arbitrary number of different outcomes. Our model also includes competitions that are asymmetric in the sense that away playing teams possibly receive other scores than home playing teams.
@article{kern_computational_2004,
	title = {The computational complexity of the elimination problem in generalized sports competitions},
	volume = {1},
	issn = {1572-5286},
	url = {http://www.sciencedirect.com/science/article/pii/S1572528604000271},
	doi = {10.1016/j.disopt.2003.12.003},
	abstract = {Consider a sports competition among various teams playing against each other in pairs (matches) according to a previously determined schedule. At some stage of the competition one may ask whether a particular team still has a (theoretical) chance to win the competition. The computational complexity of this question depends on the way scores are allocated according to the outcome of a match. For competitions with at most 3 different outcomes of a match the complexity is already known. In practice there are many competitions in which more than 3 outcomes are possible. We determine the complexity of the above problem for competitions with an arbitrary number of different outcomes. Our model also includes competitions that are asymmetric in the sense that away playing teams possibly receive other scores than home playing teams.},
	number = {2},
	urldate = {2015-12-10TZ},
	journal = {Discrete Optimization},
	author = {Kern, Walter and Paulusma, Daniël},
	month = nov,
	year = {2004},
	keywords = {Elimination problem, NP-complete, Network flow},
	pages = {205--214}
}
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