Approximation and Online Algorithms Lecture Notes in Computer Science Theoretical Computer Sci - Info and Reading Options

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Title Page -- Preface -- Organization -- Table of Contents -- Approximation Algorithms for Schedulingand Packing Problems -- Introduction -- Scheduling with Fixed Jobs -- Related Results -- New Results -- 2D Strip Packing -- Related Work -- New Results -- Multiple Knapsack Problem -- Known Results -- New Results -- Scheduling on Uniform Processors -- Known Results -- New Results -- References -- Approximating Subset k -Connectivity Problems -- Introduction -- Proof of Theorem 1 -- Proof of Theorem 2 -- Proof of Theorem 3 -- References -- Learning in Stochastic Machine Scheduling -- Introduction -- Preliminaries and Scheduling Policies -- Bayesian Methodology -- Bayesian Scheduling Policies -- Bounds on Scheduling Policies -- Upper Bound on Performance Guarantees -- Tightness of the Performance Guarantees -- Lower Bound on the Performance Guarantee of SEPT -- Lower Bound on the Performance Guarantee of -SEPT -- Computational Results -- Concluding Remarks -- References -- An Online Algorithm Optimally Self-tuning to Congestion for Power Management Problems -- Introduction -- Problem Statement -- Our Algorithm -- Decrease and Reset Algorithm (DRA) -- How to Set the Coefficients for ``Optimality -- Queueing Analysis -- Analysis -- Numerical Examples -- Conclusions -- References -- Single Approximation for Biobjective Max TSP -- Introduction -- Preliminaries -- Non Existence of a Single -Approximate Solution -- A Generic Algorithm for Biobjective Max TSP -- An Improved Analysis -- Future Work -- References -- Parameterized Approximation Algorithms for Hitting Set -- Introduction -- A Simple Design for Parameterized Approximation -- A Simple Branching for Approximation -- A More Elaborated Analysis of a Factor-2 Approximation Algorithm for 3-HS -- Approximating 3-HS with Degree Constraints -- Further Questions -- References

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