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

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New Results about Multi-band Uncertainty in Robust Optimizationinvestigate the problem of separating cuts imposing robustness and we show that the separation can be efficiently operated by solving a min-cost flow problem. Finally, we test the performance of our new approach to Robust Optimization on realistic instances of a Wireless Network Design Problem subject to uncertainty.
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Branch Mispredictions Don’t Affect Mergesortdata, mergesort was the fastest sorting method, then came quicksort, and in-situ mergesort was the slowest of the three. We did a similar kind of decoupling for quicksort, but the transformation made it slower.
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The Dilemmas of Performative Citizenshipl and requires .(Φ ·Δ) messages and Θ(. ·Δ) space per node. The experiments are based on both real-world and artificial instances and show that . is always the best choice in terms of memory requirements, while in terms of messages . outperforms . on real-world instances, whereas . is the best choice on artificial instances.
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Computing Strong Articulation Points and Strong Bridges in Large Scale Graphsnt in practice, and are able to run on large scale graphs, i.e., on graphs with ten million vertices and half billion edges. Our experiments on such graphs highlight some properties of strong articulation points, which might be of independent interest.
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Ralf KlasingFast track conference proceedings.State of the art research.Up to date results
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