Approximation, randomization, and combinatorial optimization : algorithms and techniques : 12th International Workshop, APPROX 2009, and 13th International Workshop, RANDOM 2009, Berkeley, CA, USA, August, 21-23, 2009 : proceedings / Irit Dinur [and others] (eds.)
Contributed Talks of APPROX -- Approximation Algorithms and Hardness Results for Packing Element-Disjoint Steiner Trees in Planar Graphs -- Adaptive Sampling for k-Means Clustering -- Approximations for Aligned Coloring and Spillage Minimization in Interval and Chordal Graphs -- Unsplittable Flow in Paths and Trees and Column-Restricted Packing Integer Programs -- Truthful Mechanisms via Greedy Iterative Packing -- Resource Minimization Job Scheduling -- The Power of Preemption on Unrelated Machines and Applications to Scheduling Orders -- New Hardness Results for Diophantine Approximation -- PASS Approximation -- Optimal Sherali-Adams Gaps from Pairwise Independence -- An Approximation Scheme for Terrain Guarding -- Scheduling with Outliers -- Improved Inapproximability Results for Maximum k-Colorable Subgraph -- Improved Absolute Approximation Ratios for Two-Dimensional Packing Problems -- On the Optimality of Gluing over Scales -- On Hardness of Pricing Items for Single-Minded Bidders -- Real-Time Message Routing and Scheduling -- Approximating Some Network Design Problems with Node Costs -- Submodular Maximization over Multiple Matroids via Generalized Exchange Properties -- Robust Algorithms for on Minor-Free Graphs Based on the Sherali-Adams Hierarchy -- Minimizing Average Shortest Path Distances via Shortcut Edge Addition -- Approximating Node-Connectivity Augmentation Problems -- A 7/9 -- Approximation Algorithm for the Maximum Traveling Salesman Problem -- Approximation Algorithms for Domatic Partitions of Unit Disk Graphs -- On the Complexity of the Asymmetric VPN Problem -- Contributed Talks of RANDOM -- Deterministic Approximation Algorithms for the Nearest Codeword Problem -- Strong Parallel Repetition Theorem for Free Projection Games -- Random Low Degree Polynomials are Hard to Approximate -- Composition of Semi-LTCs by Two-Wise Tensor Products -- On the Security of Goldreich's One-Way Function -- Random Tensors and Planted Cliques -- Sampling s-Concave Functions: The Limit of Convexity Based Isoperimetry -- Average-Case Analyses of Vickrey Costs -- A Hypergraph Dictatorship Test with Perfect Completeness -- Extractors Using Hardness Amplification -- How Well Do Random Walks Parallelize? -- An Analysis of Random-Walk Cuckoo Hashing -- Hierarchy Theorems for Property Testing -- Algorithmic Aspects of Property Testing in the Dense Graphs Model -- Succinct Representation of Codes with Applications to Testing -- Efficient Quantum Tensor Product Expanders and k-Designs -- Hellinger Strikes Back: A Note on the Multi-party Information Complexity of AND -- Pseudorandom Generators and Typically-Correct Derandomization -- Baum's Algorithm Learns Intersections of Halfspaces with Respect to Log-Concave Distributions -- Tolerant Linearity Testing and Locally Testable Codes -- Pseudorandom Bit Generators That Fool Modular Sums -- The Glauber Dynamics for Colourings of Bounded Degree Trees -- Testing ±1-weight halfspace -- Small-Bias Spaces for Group Products -- Small Clique Detection and Approximate Nash Equilibria -- Testing Computability by Width Two OBDDs -- Improved Polynomial Identity Testing for Read-Once Formulas -- Smooth Analysis of the Condition Number and the Least Singular Value
Summary
This book constitutes the joint refereed proceedings of the 12th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2009, and the 13th International Workshop on Randomization and Computation, RANDOM 2009, held in Berkeley, CA, USA, in August 2009. The 25 revised full papers of the APPROX 2009 workshop and the 28 revised full papers of the RANDOM 2009 workshop included in this volume, were carefully reviewed and selected from 56 and 58 submissions, respectively. APPROX focuses on algorithmic and complexity issues surrounding the development of efficient approximate solutions to computationally difficult problems. RANDOM is concerned with applications of randomness to computational and combinatorial problems
