Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques: 8th International Workshop on Approximation Algorithms for Com

ISBN-13: 9783540282396 / Angielski / Miękka / 2005 / 512 str.

Chandra Chekuri; Klaus Jansen; Jose D. P. Rolim

Opis

Contains 41 reviewed papers, selected by the two program committees from a total of 101 submissions. Among the issues addressed are design and analysis of approximation algorithms, hardness of approximation, small space and data streaming algorithms, sub-linear time algorithms, embeddings and metric space methods, and more.

Spis treści

Contributed Talks of APPROX.- The Network as a Storage Device: Dynamic Routing with Bounded Buffers.- Rounding Two and Three Dimensional Solutions of the SDP Relaxation of MAX CUT.- What Would Edmonds Do? Augmenting Paths and Witnesses for Degree-Bounded MSTs.- A Rounding Algorithm for Approximating Minimum Manhattan Networks.- Packing Element-Disjoint Steiner Trees.- Approximating the Bandwidth of Caterpillars.- Where’s the Winner? Max-Finding and Sorting with Metric Costs.- What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization.- The Complexity of Making Unique Choices: Approximating 1-in-k SAT.- Approximating the Distortion.- Approximating the Best-Fit Tree Under L p Norms.- Beating a Random Assignment.- Scheduling on Unrelated Machines Under Tree-Like Precedence Constraints.- Approximation Algorithms for Network Design and Facility Location with Service Capacities.- Finding Graph Matchings in Data Streams.- A Primal-Dual Approximation Algorithm for Partial Vertex Cover: Making Educated Guesses.- Efficient Approximation of Convex Recolorings.- Approximation Algorithms for Requirement Cut on Graphs.- Approximation Schemes for Node-Weighted Geometric Steiner Tree Problems.- Towards Optimal Integrality Gaps for Hypergraph Vertex Cover in the Lovász-Schrijver Hierarchy.- Contributed Talks of RANDOM.- Bounds for Error Reduction with Few Quantum Queries.- Sampling Bounds for Stochastic Optimization.- An Improved Analysis of Mergers.- Finding a Maximum Independent Set in a Sparse Random Graph.- On the Error Parameter of Dispersers.- Tolerant Locally Testable Codes.- A Lower Bound on List Size for List Decoding.- A Lower Bound for Distribution-Free Monotonicity Testing.- On Learning Random DNF Formulas Under the Uniform Distribution.- Derandomized Constructions of k-Wise (Almost) Independent Permutations.- Testing Periodicity.- The Parity Problem in the Presence of Noise, Decoding Random Linear Codes, and the Subset Sum Problem.- The Online Clique Avoidance Game on Random Graphs.- A Generating Function Method for the Average-Case Analysis of DPLL.- A Continuous-Discontinuous Second-Order Transition in the Satisfiability of Random Horn-SAT Formulas.- Mixing Points on a Circle.- Derandomized Squaring of Graphs.- Tight Bounds for String Reconstruction Using Substring Queries.- Reconstructive Dispersers and Hitting Set Generators.- The Tensor Product of Two Codes Is Not Necessarily Robustly Testable.- Fractional Decompositions of Dense Hypergraphs.

O autorze

Luca Trevisan ist Kunst- und Architekturhistoriker, im Mittelpunkt seines Interesses stehen die Kunst des Veneto im 16. und 17. Jahrhundert und damit auch die Architektur Andrea Palladios. Er hat mit Lionello Puppi, dem Doyen der Palladio-Forschung, zusammengearbeitet und zahlreiche Publikationen zur Renaissance vorgelegt.