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Engineering Optimization: Methods And Applications 25.0%OFF

Engineering Optimization: Methods And Applications

by A. Ravindran, K. M. Ragsdell and G. V. Reklaitis

  • ISBN

    :  

    9788126509331

  • Publisher

    :  

    Wiley India Pvt Ltd.

  • Subject

    :  

    Encyclopaedias & Reference Works

  • Binding

    :  

    Paperback

  • Pages

    :  

    688

  • Year

    :  

    2006

629.0

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  • Description

    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 collectionof 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. Sepcial Feature Engineering Optimization, Second Edition supplies the student and practicing engineer with the tools to understand and use optimization theory. Surveys all important optimization methods Covers both classical methods and new techniques that employ fuzzy logic and artificial intelligence Presentation-proofs of derivations are used only if they serve to explain key steps or properties Table of Contents Preface Introduction to Optimization Functions of a Single Variable Functions of Several Variables Linear Programming Constrained Optimality Criteria Transformation Methods Constrained Direct Search Linearization Methods for Constrained Problems Direction Generation Methods Based on Linearization Quadratic Approximation Methods for Constrained Problems Structured Problems and Algorithms Comparison of Constrained Optimization Methods Strategies for Optimization Studies Engineering Case Studies Appendix Author Index Subject Index

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