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Annals of Operations Research, Volume 90

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Volume 90, 1999

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Preface. 0
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Jens Clausen, Michael Perregaard:
On the best search strategy in parallel branch-and-bound: Best-First Search versus Lazy Depth-First Search. 1-17
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Robert E. Bixby, William J. Cook, Alan Cox, Eva K. Lee:
Computational experience with parallel mixed integerprogramming in a distributed environment. 19-43
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Adrian Brüngger, Ambros Marzetta, K. Fukuda, Jürg Nievergelt:
The parallel search bench ZRAM and its applications. 45-63
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Lakshmi S. Iyer, Jay E. Aronson:
A parallel branch-and-bound methodfor cluster analysis. 65-86
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Hercules Vladimirou, Stavros A. Zenios:
Scalable parallel computations forlarge-scale stochastic programming. 87-129
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Laureano F. Escudero, José Luis de la Fuente, Cristina García, Francisco Javier Prieto:
A parallel computation approach for solvingmultistage stochastic network problems. 131-160
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M. A. H. Dempster, R. T. Thompson:
EVPI-based importance sampling solution proceduresfor multistage stochastic linear programmeson parallel MIMD architectures. 161-184
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M. G. A. Verhoeven, M. E. M. Severens:
Parallel local search for Steiner trees in graphs. 185-202
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Udo Kohlmorgen, Hartmut Schmeck, K. Haase:
Experiences with fine-grainedparallel genetic algorithms. 203-219
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Maciej Drozdowski, Wieslaw Kubiak:
Scheduling parallel tasks withsequential heads and tails. 221-246
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Mireille L. Bougeard, C. D. Caquineau:
Parallel proximal decomposition algorithmsfor robust estimation. 247-270
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S. Berner, K. I. M. McKinnon, C. Millar:
A parallel algorithm for the global minimizationof Gibbs free energy. 271-291
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Robert L. Popp, Krishna R. Pattipati, Yaakov Bar-Shalom:
Distributed- and shared-memory parallelizationsof assignment-based data association formultitarget tracking. 293-322

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