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Titlebook: Algorithms -- ESA 2011; 19th Annual European Camil Demetrescu,Magnús M. Halldórsson Conference proceedings 2011 Springer-Verlag GmbH Berlin

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樓主: 吞食
41#
發(fā)表于 2025-3-28 16:16:58 | 只看該作者
42#
發(fā)表于 2025-3-28 19:52:49 | 只看該作者
43#
發(fā)表于 2025-3-28 23:53:20 | 只看該作者
Schlussfolgerungen und Implikationen,captures the preferences of the vertices in a . way. Matching . is more popular than matching .′ if the number of vertices that prefer . to .′ is more than those that prefer .′ to .. The . of . measures by what factor any matching can be more popular than .. We show that . always admits a matching w
44#
發(fā)表于 2025-3-29 06:15:08 | 只看該作者
Der internationale Fernsehformathandelupper bound on the number of positions it provides. It is well-known that in any instance, there exists at least one stable matching, and finding one can be done in polynomial time. In this paper, we consider an extension in which each hospital specifies not only an upper bound but also a . bound on
45#
發(fā)表于 2025-3-29 10:40:26 | 只看該作者
46#
發(fā)表于 2025-3-29 15:01:39 | 只看該作者
Zum Gegenstand: Fernsehen und Unterhaltung,s PSPACE-complete, and the problem is similar to games like chess, where an existential and a universal player have to play a two-person-zero-sum game. At the same time, a QLP with . variables is a variant of a linear program living in ., and it has strong similarities with multi-stage stochastic li
47#
發(fā)表于 2025-3-29 18:11:06 | 只看該作者
Ergebnisse der empirischen Untersuchung, some recovery action must be taken to cope with the disturbance. In such a situation it is worthwhile to arm yourself against common disturbances. Well-known approaches to create plans that take possible, common disturbances into account are robust optimization and stochastic programming. Recently,
48#
發(fā)表于 2025-3-29 21:39:16 | 只看該作者
49#
發(fā)表于 2025-3-30 01:33:56 | 只看該作者
50#
發(fā)表于 2025-3-30 04:45:43 | 只看該作者
Schlussfolgerungen und Implikationen,hose unpopularity factor is .(log|.|) and such a matching can be computed in linear time. In our problem the optimal matching would be a . unpopularity factor matching - we show that computing such a matching is NP-hard. In fact, for any .?>?0, it is NP-hard to compute a matching whose unpopularity factor is at most 4/3???. of the optimal.
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