Optimization in Practice with MATLAB®: For Engineering Students and Professionals

Part I. Helpful Preliminaries: 1. MATLAB(R) 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.

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