In Part I, we presented some prerequisite material for our study of optimization: and introduction to Matlab, and some elementary mathematics. In Part II, we learned what we needed to explore what optimization is all about, and the important role it can play in your life as and engineer, scientist, business person, or anyone dealing with improving things quantitatively (e.g., performance and cost). In Part III, we get into the thick of things! We learn what we need to know to credibly address optimization problems in practice.
Specifically, the topics presented, with the chapter numbers, are given below:
6. Multiobjective Optimization
7. Numerical Essentials
8. Global Optimization Basics
9. Discrete Optimization Basics
10. Practicing Optimization—Larger Examples
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