Table of Contents

Preface; 1. Introduction to process optimization; 2. Concepts of unconstrained optimization; 3. Newton-type methods for unconstrained optimization; 4. Concepts of constrained optimization; 5. Newton methods for equality constrained optimization; 6. Numerical algorithms for constrained optimization; 7. Steady state process optimization; 8. Introduction to dynamic process optimization; 9. Dynamic optimization methods with embedded DAE solvers; 10. Simultaneous methods for dynamic optimization; 11. Process optimization with complementarity constraints; Bibliography; Index.

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A comprehensive treatment of nonlinear programming concepts and algorithms, especially as they apply to challenging applications in chemical process engineering.

About the Author

Lorenz T. Biegler is the Bayer Professor of Chemical Engineering at Carnegie Mellon University and a Fellow of the American Institute of Chemical Engineers. He has authored or coauthored over 200 journal articles and two books. His research interests lie in the field of computer-aided process engineering, including flowsheet optimization, optimization of systems of differential and algebraic equations, reactor network synthesis and algorithms for constrained, nonlinear process control.