Optimisation, or mathematical programming, is a fundamental subject within decision science and operations research, in which mathematical decision models are c

This treatment focuses on the analysis and algebra underlying the workings of convexity and duality and necessary/sufficient local/global optimality conditions

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from divers

Since its initial publication, this text has defined courses in dynamic optimization taught to economics and management science students. The two-part treatment

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