[share_ebook] Practical Optimization: Algorithms and Engineering Applications - Andreas Antoniou, Wu-Sheng Lu


Author: Andreas Antoniou, Wu-Sheng Lu

Date: 2007

Pages: 676

Publisher: Springer; 1 edition

Category: Software


Posted on 2012-01-13, by 4bookholic.

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Practical Optimization: Algorithms and Engineering Applications


Practical Optimization: Algorithms and Engineering Applications
Andreas Antoniou, Wu-Sheng Lu | Springer; 1 edition | 2007 | 676 pages | English | PDF

Practical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semesters worth of complimentary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field. Advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimization methods in many disciplines, e.g., engineering, business, and science, and has subsequently led to problem solutions that were considered intractable not too long ago. Key Features: * extensively class-tested * provides a complete teaching package with MATLAB exercises and online solutions to end-of-chapter problems * includes recent methods of emerging interest such as semidefinite programming and second-order cone programming * presents a unified treatment of unconstrained and constrained optimization * uses a practical treatment of optimization accessible to broad audience, from college students to scientists and industry professionals * provides a thorough appendix with background theory so non-experts can understand how applications are solved from point of view of optimization CONTENTS 1. THE OPTIMIZATION PROBLEM 2. BASIC PRINCIPLES 3. GENERAL PROPERTIES OF ALGORITHMS 4. ONE-DIMENSIONAL OPTIMIZATION 5. BASIC MULTIDIMENSIONAL GRADIENT METHODS 6. CONJUGATE-DIRECTION METHODS 7. QUASI-NEWTON METHODS 8. MINIMAX METHODS 9. APPLICATIONS OF UNCONSTRAINED OPTIMIZATION 10. FUNDAMENTALS OF CONSTRAINED OPTIMIZATION 11. LINEAR PROGRAMMING PART I: THE SIMPLEX METHOD 12. LINEAR PROGRAMMING PART II: INTERIOR-POINT METHODS 13. QUADRATIC AND CONVEX PROGRAMMING 14. SEMIDEFINITE AND SECOND-ORDER CONE PROGRAMMING 15. GENERAL NONLINEAR OPTIMIZATION PROBLEMS 16. APPLICATIONS OF CONSTRAINED OPTIMIZATION Appendices A Basics of Linear Algebra B Basics of Digital Filters Index


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