Integer Programming and Combinatorial Optimization [electronic resource] : 10th International IPCO Conference, New York, NY, USA, June 7-11, 2004. Proceedings / edited by Daniel Bienstock, George Nemhauser.

Session 1 -- Robust Branch-and-Cut-and-Price for the Capacitated Vehicle Routing Problem -- Metric Inequalities and the Network Loading Problem -- Valid Inequalities Based on Simple Mixed-Integer Sets -- Session 2 -- The Price of Anarchy when Costs Are Non-separable and Asymmetric -- Computational Complexity, Fairness, and the Price of Anarchy of the Maximum Latency Problem -- Polynomial Time Algorithm for Determining Optimal Strategies in Cyclic Games -- Session 3 -- A Robust Optimization Approach to Supply Chain Management -- Hedging Uncertainty: Approximation Algorithms for Stochastic Optimization Problems -- Scheduling an Industrial Production Facility -- Session 4 -- Three Min-Max Theorems Concerning Cyclic Orders of Strong Digraphs -- A TDI Description of Restricted 2-Matching Polytopes -- Enumerating Minimal Dicuts and Strongly Connected Subgraphs and Related Geometric Problems -- Session 5 -- Semi-continuous Cuts for Mixed-Integer Programming -- Combinatorial Benders’ Cuts -- A Faster Exact Separation Algorithm for Blossom Inequalities -- Session 6 -- LP-based Approximation Algorithms for Capacitated Facility Location -- A Multi-exchange Local Search Algorithm for the Capacitated Facility Location Problem -- Separable Concave Optimization Approximately Equals Piecewise Linear Optimization -- Session 7 -- Three Kinds of Integer Programming Algorithms Based on Barvinok’s Rational Functions -- The Path-Packing Structure of Graphs -- More on a Binary-Encoded Coloring Formulation -- Session 8 -- Single Machine Scheduling with Precedence Constraints -- The Constrained Minimum Weighted Sum of Job Completion Times Problem -- Session 9 -- Near-Optimum Global Routing with Coupling, Delay Bounds, and Power Consumption -- A Flow-Based Method for Improving the Expansion or Conductance of Graph Cuts -- All Rational Polytopes Are Transportation Polytopes and All Polytopal Integer Sets Are Contingency Tables -- Session 10 -- A Capacity Scaling Algorithm for M-convex Submodular Flow -- Integer Concave Cocirculations and Honeycombs -- Minsquare Factors and Maxfix Covers of Graphs -- Session 11 -- Low-Dimensional Faces of Random 0/1-Polytopes -- On Polyhedra Related to Even Factors -- Optimizing over Semimetric Polytopes.