Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques: 11th International Workshop, APPROX 2008 and 12th International Workshop, RANDOM 2008, Boston, MA, USA, August 25-27, 2008 / Edition 1

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques: 11th International Workshop, APPROX 2008 and 12th International Workshop, RANDOM 2008, Boston, MA, USA, August 25-27, 2008 / Edition 1

ISBN-10:
3540853626
ISBN-13:
9783540853626
Pub. Date:
09/28/2008
Publisher:
Springer Berlin Heidelberg

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Overview

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques: 11th International Workshop, APPROX 2008 and 12th International Workshop, RANDOM 2008, Boston, MA, USA, August 25-27, 2008 / Edition 1

This book constitutes the joint refereed proceedings of the 11th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2008 and the 12th International Workshop on Randomization and Computation, RANDOM 2008, held in Boston, MA, USA, in August 2008.

The 20 revised full papers of the APPROX 2008 workshop were carefully reviewed and selected from 42 submissions and focus on algorithmic and complexity issues surrounding the development of efficient approximate solutions to computationally difficult problems. RANDOM 2008 is concerned with applications of randomness to computational and combinatorial problems and accounts for 27 revised full papers, also diligently reviewed and selected out of 52 workshop submissions.

Product Details

ISBN-13: 9783540853626
Publisher: Springer Berlin Heidelberg
Publication date: 09/28/2008
Series: Lecture Notes in Computer Science / Theoretical Computer Science and General Issues Series , #5171
Edition description: 2008
Pages: 604
Product dimensions: 6.10(w) x 9.30(h) x 1.10(d)

Table of Contents

Contributed Talks of APPROX.- Approximating Optimal Binary Decision Trees.- Santa Claus Meets Hypergraph Matchings.- Ordinal Embedding: Approximation Algorithms and Dimensionality Reduction.- Connected Vertex Covers in Dense Graphs.- Improved Approximation Guarantees through Higher Levels of SDP Hierarchies.- Sweeping Points.- Constraint Satisfaction over a Non-Boolean Domain: Approximation Algorithms and Unique-Games Hardness.- Fully Polynomial Time Approximation Schemes for Time-Cost Tradeoff Problems in Series-Parallel Project Networks.- Efficient Algorithms for Fixed-Precision Instances of Bin Packing and Euclidean TSP.- Approximating Maximum Subgraphs without Short Cycles.- Deterministic 7/8-Approximation for the Metric Maximum TSP.- Inapproximability of Survivable Networks.- Approximating Single Machine Scheduling with Scenarios.- Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity.- A General Framework for Designing Approximation Schemes for Combinatorial Optimization Problems with Many Objectives Combined into One.- The Directed Minimum Latency Problem.- A Simple LP Relaxation for the Asymmetric Traveling Salesman Problem.- Approximating Directed Weighted-Degree Constrained Networks.- A Constant Factor Approximation for Minimum—-Edge-Connected k-Subgraph with Metric Costs.- Budgeted Allocations in the Full-Information Setting.- Contributed Talks of RANDOM.- Optimal Random Matchings on Trees and Applications.- Small Sample Spaces Cannot Fool Low Degree Polynomials.- Derandomizing the Isolation Lemma and Lower Bounds for Circuit Size.- Tensor Products of Weakly Smooth Codes Are Robust.- On the Degree Sequences of Random Outerplanar and Series-Parallel Graphs.- Improved Bounds for Testing Juntas.- The Complexity of Distinguishing Markov Random Fields.- Reconstruction of Markov Random Fields from Samples: Some Observations and Algorithms.- Tight Bounds for Hashing Block Sources.- Improved Separations between Nondeterministic and Randomized Multiparty Communication.- Quantum and Randomized Lower Bounds for Local Search on Vertex-Transitive Graphs.- On the Query Complexity of Testing Orientations for Being Eulerian.- Approximately Counting Embeddings into Random Graphs.- Increasing the Output Length of Zero-Error Dispersers.- Euclidean Sections of with Sublinear Randomness and Error-Correction over the Reals.- The Complexity of Local List Decoding.- Limitations of Hardness vs. Randomness under Uniform Reductions.- Learning Random Monotone DNF.- Breaking the—-Soundness Bound of the Linearity Test over GF(2).- Dense Fast Random Projections and Lean Walsh Transforms.- Near Optimal Dimensionality Reductions That Preserve Volumes.- Sampling Hypersurfaces through Diffusion.- A 2-Source Almost-Extractor for Linear Entropy.- Extractors for Three Uneven-Length Sources.- The Power of Choice in a Generalized Pólya Urn Model.- Corruption and Recovery-Efficient Locally Decodable Codes.- Quasi-randomness Is Determined by the Distribution of Copies of a Fixed Graph in Equicardinal Large Sets.

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