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|a 10.1007/978-3-642-02011-7
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|a Experimental Algorithms
|h [electronic resource] :
|b 8th International Symposium SEA 2009, Dortmund, Germany, June 4-6, 2009, Proceedings /
|c edited by Jan Vahrenhold.
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|a 1st ed. 2009.
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|a Berlin, Heidelberg :
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|a Theoretical Computer Science and General Issues ;
|v 5526
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|a Parallelism in Current and Future Processors – Challenges and Support for Designing Optimal Algorithms -- From Streaming B-Trees to Tokutek: How a Theoretician Learned to be VP of Engineering -- Experimental Comparisons of Derivative Free Optimization Algorithms -- On Computational Models for Flash Memory Devices -- Competitive Buffer Management with Stochastic Packet Arrivals -- Fast and Accurate Bounds on Linear Programs -- Batch Dynamic Single-Source Shortest-Path Algorithms: An Experimental Study -- Rotated-Box Trees: A Lightweight c-Oriented Bounding-Volume Hierarchy -- psort, Yet Another Fast Stable Sorting Software -- A Heuristic for Fair Correlation-Aware Resource Placement -- Measuring the Similarity of Geometric Graphs -- A Heuristic Strong Connectivity Algorithm for Large Graphs -- Pareto Paths with SHARC -- An Application of Self-organizing Data Structures to Compression -- Scheduling Additional Trains on Dense Corridors -- Broadword Computing and Fibonacci Code Speed Up Compressed Suffix Arrays -- Speed-Up Techniques for the Selfish Step Algorithm in Network Congestion Games -- Experimental Study of Non-oblivious Greedy and Randomized Rounding Algorithms for Hypergraph b-Matching -- Empirical Evaluation of Graph Partitioning Using Spectral Embeddings and Flow -- Univariate Algebraic Kernel and Application to Arrangements -- Fast Algorithm for Graph Isomorphism Testing -- Algorithms and Experiments for Clique Relaxations—Finding Maximum s-Plexes -- A Design-for-Yield Algorithm to Assess and Improve the Structural and Energetic Robustness of Proteins and Drugs -- Multi-level Algorithms for Modularity Clustering -- Bulk-Insertion Sort: Towards Composite Measures of Presortedness -- Computing Elevation Maxima by Searching the Gauss Sphere.
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