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> Optimization in Practice with MATLAB®

Optimization in Practice with MATLAB®

For Engineering Students and Professionals

Achille Messac, Mississippi State University
Textbook
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…
Frontmatter
pp i-iv
Contents
pp v-xvi
List of Figures
pp xvii-xxii
List of Tables
pp xxiii-xxiv
Preface
pp xxv-xxx
Acknowledgements
pp xxxi-xxxii
PART I - HELPFUL PRELIMINARIES
pp 1-2
1 - MATLAB® as a Computational Tool
pp 3-43
2 - Mathematical Preliminaries
pp 44-70
PART II - USING OPTIMIZATION–THE ROAD MAP
pp 71-72
3 - Welcome to the Fascinating World of Optimization
pp 73-81
4 - Analysis, Design, Optimization and Modeling
pp 82-92
5 - Introducing Linear and Nonlinear Programming
pp 93-120
PART III - USING OPTIMIZATION—PRACTICAL ESSENTIALS
pp 121-122
6 - Multiobjective Optimization
pp 123-157
7 - Numerical Essentials
pp 158-199
8 - Global Optimization Basics
pp 200-212
9 - Discrete Optimization Basics
pp 213-222
10 - Practicing Optimization—Larger Examples
pp 223-248
PART IV - GOING DEEPER: INSIDE THE CODES AND THEORETICAL ASPECTS
pp 249-250
11 - Linear Programming
pp 251-278
12 - Nonlinear Programming with No Constraints
pp 279-309
13 - Nonlinear Programming with Constraints
pp 310-332
PART V - MORE ADVANCED TOPICS IN OPTIMIZATION
pp 333-334
14 - Discrete Optimization
pp 335-354
15 - Modeling Complex Systems: Surrogate Modeling and Design Space Reduction
pp 355-375
16 - Design Optimization Under Uncertainty
pp 376-405
17 - Methods for Pareto Frontier Generation/Representation
pp 406-428
18 - Physical Programming for Multiobjective Optimization
pp 429-444
19 - Evolutionary Algorithms
pp 445-460
Author Index
pp 461-464
Subject Index
pp 465-469
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Online ISBN: 9781316271391
Published online: 28 May 2018
Hardback ISBN: 9781107109186
Hardback publication date: 19 March 2015

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