Description: Optimization in Practice with MATLAB® For Engineering Students and Professionals This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software. Achille Messac (Author) 9781107109186, Cambridge University Press Hardback, published 19 March 2015 494 pages 26 x 18.4 x 3 cm, 1.06 kg Optimization in Practice with MATLAB® provides a unique approach to optimization education. It is accessible to both junior and senior undergraduate and graduate students, as well as industry practitioners. It provides a strongly practical perspective that allows the student to be ready to use optimization in the workplace. It covers traditional materials, as well as important topics previously unavailable in optimization books (e.g. numerical essentials - for successful optimization). Written with both the reader and the instructor in mind, Optimization in Practice with MATLAB® provides practical applications of real-world problems using MATLAB®, with a suite of practical examples and exercises that help the students link the theoretical, the analytical, and the computational in each chapter. Additionally, supporting MATLAB® m-files are available for download via www.cambridge.org.messac. Lastly, adopting instructors will receive a comprehensive solution manual with solution codes along with lectures in PowerPoint with animations for each chapter, and the text's unique flexibility enables instructors to structure one- or two-semester courses. Part I. Helpful Preliminaries: 1. MATLAB® as a computational tool 2. Mathematical preliminaries Part II. Using Optimization – the Road Map: 3. Welcome to the fascinating world of optimization 4. Analysis, design, optimization, and modeling 5. Introducing linear and nonlinear programming Part III. Using Optimization – Practical Essentials: 6. Multiobjective optimization 7. Numerical essentials 8. Global optimization basics 9. Discrete optimization basics 10. Practicing optimization – larger examples Part IV. Going Deeper: Inside the Codes and Theoretical Aspects: 11. Linear programming 12. Nonlinear programming with no constraints 13. Nonlinear programming with constraints Part V. More Advanced Topics in Optimization: 14. Discrete optimization 15. Modeling complex systems: surrogate modeling and design space reduction 16. Design optimization under uncertainty 17. Methods for Pareto frontier generation/representation 18. Physical programming for multiobjective optimization 19. Evolutionary algorithms. Subject Areas: Aerospace & aviation technology [TRP], Production engineering [TGP], Mechanical engineering [TGB], Applied mathematics [PBW], Optimization [PBU]
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BIC Subject Area 1: Aerospace & aviation technology [TRP]
BIC Subject Area 2: Production engineering [TGP]
BIC Subject Area 3: Mechanical engineering [TGB]
BIC Subject Area 4: Applied mathematics [PBW]
BIC Subject Area 5: Optimization [PBU]
Number of Pages: 494 Pages
Language: English
Publication Name: Optimization in Practice with Matlab (R) : for Engineering Students and Professionals
Publisher: Cambridge University Press
Publication Year: 2015
Subject: Engineering & Technology, Mathematics
Item Height: 260 mm
Item Weight: 1060 g
Type: Textbook
Author: Achille Messac
Subject Area: Mechanical Engineering
Item Width: 184 mm
Format: Hardcover
