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Randomization, Approximation, and Combinatorial Optimization Algorithms and Techniques
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Table of Contents

Session Random 1.- Completeness and Robustness Properties of Min-Wise Independent Permutations.- Low Discrepancy Sets Yield Approximate Min-Wise Independent Permutation Families.- Session Approx 1.- Independent Sets in Hypergraphs with Applications to Routing Via Fixed Paths.- Approximating Minimum Manhattan Networks.- Approximation of Multi-Color Discrepancy.- A Polynomial Time Approximation Scheme for the Multiple Knapsack Problem.- Session Approx 2.- Set Cover with Requirements and Costs Evolving over Time.- Multicoloring Planar Graphs and Partial k-Trees.- Session: Random 2.- Testing the Diameter of Graphs.- Improved Testing Algorithms for Monotonicity.- Linear Consistency Testing.- Improved Bounds for Sampling Contingency Tables.- Invited Talk.- Probabilistic and Deterministic Approximations of the Permanent.- Session Random 3.- Improved Derandomization of BPP Using a Hitting Set Generator.- Probabilistic Construction of Small Strongly Sum-Free Sets via Large Sidon Sets.- Session Approx 3.- Stochastic Machine Scheduling: Performance Guarantees for LP-Based Priority Policies.- Efficient Redundant Assignments under Fault-Tolerance Constraints.- Scheduling with Machine Cost.- A Linear Time Approximation Scheme for the Job Shop Scheduling Problem.- Invited Talk.- Randomized Rounding for Semidefinite Programs – Variations on the MAX CUT Example.- Session Approx 4.- Hardness Results for the Power Range Assignment Problem in Packet Radio Networks.- A New Approximation Algorithm for the Demand Routing and Slotting Problem with Unit Demands on Rings.- Session Random 4.- Algorithms for Graph Partitioning on the Planted Partition Model.- A Randomized Time-Work Optimal Parallel Algorithm for Finding a Minimum Spanning Forest.- Fast Approximate PCPs for MultidimensionalBin-Packing Problems.- Pfaffian Algorithms for Sampling Routings on Regions with Free Boundary Conditions.- Minisymposium on Scheduling Talks.- Scheduling with Unexpected Machine Breakdowns.- Scheduling on a Constant Number of Machines.

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