Experimental Algorithms

Session 1.- Algorithms for Wireless Sensor Networks: Design, Analysis and Experimental Evaluation.- Numerical Estimation of the Impact of Interferences on the Localization Problem in Sensor Networks.- Session 2.- An Efficient Heuristic for the Ring Star Problem.- An Incremental Model for Combinatorial Maximization Problems.- Workload Balancing in Multi-stage Production Processes.- Session 3.- Fault Cryptanalysis and the Shrinking Generator.- Some Advances in the Theory of Voting Systems Based on Experimental Algorithms.- Session 4.- Practical Construction of k-Nearest Neighbor Graphs in Metric Spaces.- Fast and Simple Approximation of the Diameter and Radius of a Graph.- Session 5.- Lists on Lists: A Framework for Self-organizing Lists in Environments with Locality of Reference.- Lists Revisited: Cache Conscious STL Lists.- Engineering the LOUDS Succinct Tree Representation.- Session 6.- Faster Adaptive Set Intersections for Text Searching.- Compressed Dictionaries: Space Measures, Data Sets, and Experiments.- Efficient Bit-Parallel Algorithms for (?,?)-Matching.- Session 7.- Tiny Experiments for Algorithms and Life.- Evaluation of Online Strategies for Reordering Buffers.- Session 8.- Scheduling Unrelated Parallel Machines Computational Results.- Implementation of Approximation Algorithms for the Max-Min Resource Sharing Problem.- Column Generation Based Heuristic for a Helicopter Routing Problem.- Session 9.- Kernels for the Vertex Cover Problem on the Preferred Attachment Model.- Practical Partitioning-Based Methods for the Steiner Problem.- Session 10.- Algorithmic and Complexity Results for Decompositions of Biological Networks into Monotone Subsystems.- A Maximum Profit Coverage Algorithm with Application to Small Molecules Cluster Identification.- Session 11.- Algorithmic Challenges in Web Search Engines.- On the Least Cost for Proximity Searching in Metric Spaces.- Session 12.- Updating Directed Minimum Cost Spanning Trees.- Experiments on Exact Crossing Minimization Using Column Generation.- Goal Directed Shortest Path Queries Using Precomputed Cluster Distances.