Optimization in Practice with MATLAB (R) : For Engineering Students and Professionals (Hardcover)

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.