This volume contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as complexity, heuristic methods,

Interest in constrained optimization originated with the simple linear pro gramming model since it was practical and perhaps the only computationally tractable

In science, engineering and economics, decision problems are frequently modelled by optimizing the value of a (primary) objective function under stated feasibil

Due to the general complementary convex structure underlying most nonconvex optimization problems encountered in applications, convex analysis plays an essentia