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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
11#
發(fā)表于 2025-3-23 10:38:00 | 只看該作者
Improving the Price of Anarchy for Selfish Routing via Coordination Mechanisms3; this maximum is attained already for a simple network of two parallel links, known as Pigou’s network. We improve upon the value 4/3 by means of Coordination Mechanisms..We increase the latency functions of the edges in the network, i.e., if ?.(.) is the latency function of an edge ., we replace
12#
發(fā)表于 2025-3-23 13:58:45 | 只看該作者
13#
發(fā)表于 2025-3-23 21:51:47 | 只看該作者
An , Time Algorithm to Compute the Bisection Width of Solid Grid Graphsnimised. A . is a finite connected subgraph of the infinite two-dimensional grid. It is called . if it has no holes. Papadimitriou and Sideri?[8] gave an . time algorithm to solve the bisection problem on solid grid graphs. We propose a novel approach that exploits structural properties of optimal c
14#
發(fā)表于 2025-3-23 22:55:52 | 只看該作者
15#
發(fā)表于 2025-3-24 05:35:39 | 只看該作者
16#
發(fā)表于 2025-3-24 09:24:37 | 只看該作者
17#
發(fā)表于 2025-3-24 12:10:09 | 只看該作者
18#
發(fā)表于 2025-3-24 14:52:53 | 只看該作者
Quantified Linear Programs: A Computational Studys 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
19#
發(fā)表于 2025-3-24 21:05:08 | 只看該作者
Recoverable Robustness by Column Generation 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,
20#
發(fā)表于 2025-3-25 00:09:31 | 只看該作者
https://doi.org/10.1007/978-3-642-23719-5combinatorial optimization; linear programming; online algorithms; parameterized algorithms; worst case
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