| Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes Contributor(s): Biegler, Lorenz T. (Author) |
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ISBN: 0898717027 ISBN-13: 9780898717020 Publisher: Society for Industrial and Applied Mathematic OUR PRICE: $95.95 Product Type: Hardcover Published: October 2010 |
| Additional Information |
| BISAC Categories: - Mathematics | Linear & Nonlinear Programming |
| Dewey: 519.76 |
| LCCN: 2010013645 |
| Series: Mps-Siam Series on Optimization |
| Physical Information: 416 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book addresses modern nonlinear programming concepts and algorithms, especially as they apply to challenging applications in chemical process engineering. It relates the material to real-world problem classes in process optimisation, thus bridging the gap between the mathematical material and the practical uses. Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes shows readers which methods are best suited for specific applications, how large-scale problems should be formulated and what features of these problems should be emphasised, and how existing NLP methods can be extended to exploit specific structures of large-scale optimisation models. The book serves a dual function: it will be useful to chemical engineers who wish to understand and use nonlinear programming; it will also be of interest to experts in mathematical optimisation who want to understand process engineering problems and develop better approaches to solving them. |
Contributor Bio(s): Biegler, Lorenz T.: - 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. |