Optimization in Practice with MATLAB® For Engineering Students and Professionals > 제어시스템

Table of Contents

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