Polyhedral Approximations in Convex Optimization

We propose a unifying framework for solution of convex programs by polyhedral approximation. It includes classical methods, such as cutting plane, Dantzig-Wolfe decomposition, bundle, and simplicial de- composition, but also includes refinements of these methods, as well as new methods that are well-suited for important large-scale types of problems, arising for example in network optimization.