Engineering Optimization: methods and applications

The classic introduction to engineering optimization theory and practicenow expanded and updatedEngineering optimization helps engineers zero in on the most effective, efficient solutions to problems. This text provides a practical, realworld understanding of engineering optimization. Rather than belaboring underlying proofs and mathematical derivations, it emphasizes optimization methodology, focusing on techniques and stratagems relevant to engineering applications in design, operations, and analysis. It surveys diverse optimization methods, ranging from those applicable to the minimization of a singlevariable function to those most suitable for largescale, nonlinear constrained problems. New material covered includes the duality theory, interior point methods for solving LP problems, the generalized Lagrange multiplier method and generalization of convex functions, and goal programming for solving multiobjective optimization problems. A practical, handson reference and text, Engineering Optimization, Second Edition covers:* Practical issues, such as model formulation, implementation, starting point generation, and more* Current, stateoftheart optimization software* Three engineering case studies plus numerous examples from chemical, industrial, and mechanical engineering* Both classical methods and new techniques, such as successive quadratic programming, interior point methods, and goal programmingExcellent for selfstudy and as a reference for engineering professionals, this Second Edition is also ideal for senior and graduate courses on engineering optimization, including television and online instruction, as well as for inplant training.