Advanced Optimization for Process Systems Engineering (Cambridge Series in Chemical Engineering)
Cambridge University Press, 3/25/2021
EAN 9781108831659, ISBN10: 1108831656
Hardcover, 102 pages, 24.1 x 18.4 x 1.3 cm
Language: English
Originally published in English
Based on the author's forty years of teaching experience, this unique textbook covers both basic and advanced concepts of optimization theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and decomposition techniques (Lagrangean and Benders decomposition). Assuming only a basic background in calculus and linear algebra, it enables easy understanding of mathematical reasoning, and numerous examples throughout illustrate key concepts and algorithms. End-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS, enhance understanding and help put knowledge into practice. Accompanied by two appendices containing web links to modeling systems and models related to applications in PSE, this is an essential text for single-semester, graduate courses in process systems engineering in departments of chemical engineering.
Preface
1. Optimization in process systems engineering
2. Solving nonlinear equations
3. Basic theoretical concepts in optimization
4. Nonlinear programming algorithms
5. Linear programming
6. Mixed-integer programming models
7. Systematic modeling of constraints with logic
8. Mixed-integer linear programming
9 Mixed-integer nonlinear programming
10. Generalized disjunctive programming
11. Constraint programming
12. Nonconvex optimization
13. Lagrangean decomposition
14. Stochastic programming
15. Flexibility analysis
Appendix A. Modeling systems and optimization software
Appendix B. Optimization models for process systems engineering
References
Index.