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Titlebook: Experimental and Efficient Algorithms; 4th International Wo Sotiris E. Nikoletseas Conference proceedings 2005 Springer-Verlag Berlin Heide

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Beating the Union: Union Avoidance in the US]. We present a faster data structure, cost based variable fixing and adapt an upper bound heuristic. The resulting algorithm solves benchmark instances up to 10 times faster than the former approach and up to 100 times faster than a general MIP-solver.
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Pollution and Monitoring in the Arcticerved. We design and evaluate a fast local heuristics that yields remarkably good results compared to a well known . approximation algorithm. The use of the shrinkage criterion allows us to increase the size of the instances solved exactly, or to augments the precision of any particular heuristics.
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Monodromy Groups for Hypergeometric Systems, to significantly improve the performance of memoryless construction procedures, in terms of solution quality and processing time. Computational results show that the new heuristic obtains systematically better solutions than more involving and time consuming techniques such as tabu search and genet
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Calvin C. Moore,Claude Schocheter can be formulated as integer covering programs, possibly with additional side constraints. Second, the number of covering options is restricted in some sense, although this property may be well hidden. Our method is a natural extension of the . technique.
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Larry Purnell Ph.D., R.N., FAAN very vital idea for improving treewidth lower bounds. In this paper, we investigate a total of nine graph parameters, providing lower bounds for treewidth. The parameters have in common that they all are the vertex-degree of some vertex in a subgraph or minor of the input graph. We show relations b
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