5 Nonlinear Programming (NLP)

Chapters in this book

1. Frontmatter I
2. Dedication V
3. Foreword VII
4. Contents IX
5. 1 Introduction to Process Optimization 1
6. 2 Mathematical Foundations for Optimization 7
7. 3 Formulating Optimization Problems 36
8. 4 Linear Programming (LP) Methods 56
9. 5 Nonlinear Programming (NLP) 82
10. 6 Integer and Mixed-Integer Programming 110
11. 7 Multi-objective Optimization 140
12. 8 Decision-Making Under Uncertainty 168
13. 9 Optimization in Current and Future Applications 188
14. 10 GAMS Tutorial 222
15. Index 239