Titlebook: Experimental Algorithms; 11th International S Ralf Klasing Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 2012 compact data

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,The Women’s Journaling Group Program Model,ng Problems. However, the central modeling assumption that the deviation band of each uncertain parameter is single may be too limitative in practice: experience indeed suggests that the deviations distribute also internally to the single band, so that getting a higher resolution by partitioning the

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Brigitte Aulenbacher,Birgit Riegrafixed-integer) quadratic programming problems subject to systems of linear equality constraints. We present an extension to the general case of polynomial programming problems and discuss the derived convex relaxation. We then show how to perform rRLT constraint generation so as to reduce the number

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https://doi.org/10.1057/978-1-352-00145-7complexity .(.), where . is the number of nodes and . is the number of edges of the graph, we experimentally show that in practice our method works in .(.) time. Moreover, we show how to extend our algorithm to the case of directed weighted graphs and, even in this case, we present some preliminary

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Kate Thomas,Sue Jackson,Irene Malcolm) obeying the . triangle inequality (i.e., for some .., we have that ??.,.,.?∈?., .(.,.)?≤?.(.(.,.)?+?.(.,.))), and given a set of . edge weight modifications producing a new weighted graph still obeying the strengthened triangle inequality, find a minimum-cost Hamiltonian cycle of the modified grap

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https://doi.org/10.1057/978-1-137-51765-4ng from real-world applications are huge yielding unsustainable times to compute shortest paths. For this reason, great research efforts have been done to accelerate Dijkstra’s algorithm on road networks. These efforts have led to the development of a number of ., as for example ., whose aim is to c

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https://doi.org/10.1057/9780230101821maximum matching in random graphs with constant expected degree .?>?0, independent of the value of .. This is contrary to the behavior of commonly used greedy matching heuristics which are known to have some range of . where they probably fail to compute a maximum matching.

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Discourse, Discourse Analysis and Gendere most efficient algorithms for the problem based on nondeterministic automata and comparison of characters..From our experimental results it turns out that the new multiple sliding windows approach leads to algorithms which obtain better results than the original ones when searching texts over rela