About the Book :
In the most general terms, optimization theory is a body of mathematical results and numerical methods for finding and identifying the best candidate from a collection of alternatives without having to explicitly enumerate and evaluate all possible alternatives. The process of optimization lies at the root of engineering, since the classical function of the engineer is to design new, better, more efficient and less expensive systems as well as to devise plans and procedures for the improved operation of existing systems. Most optimization routines are lengthy and therefore are efficiently applied through the use of the computer, but an understanding of the processes is needed to identify needs and interpret results. This book supplies the student and practicing engineer with the tools to understand and use optimization theory.
About the Author :
Professor A. RavindranDepartment of Industrial and Manufacturing EngineeringPenn State University310 Leonhard BuildingUniversity Park, PA 16802 Professor Kenneth RagsdellDepartment of Engineering ManagementUniversity of MissouriRolla, MO 65401 George V. ReklaitisSchool of Chemical EngineeringPurdue UniversityForney Hall of Chemical Engineering 104480 Stadium DriveWest Lafayette, IN 47907
Interesting Facts :
Engineering Optimization, Second Edition supplies the student and practicing engineer with the tools to understand and use optimization theory. Surveys all important optimization methodsCovers both classical methods and new techniques that employ fuzzy logic and artificial intelligencePresentation-proofs of derivations are used only if they serve to explain key steps or properties
PrefaceIntroduction to OptimizationFunctions of a Single VariableFunctions of Several VariablesLinear ProgrammingConstrained Optimality CriteriaTransformation MethodsConstrained Direct SearchLinearization Methods for Constrained ProblemsDirection Generation Methods Based on LinearizationQuadratic Approximation Methods for Constrained ProblemsStructured Problems and AlgorithmsComparison of Constrained Optimization MethodsStrategies for Optimization StudiesEngineering Case StudiesAppendix Author IndexSubject Index