Nonlinear Programming : Concepts, Algorithms, and Applications to Chemical Processes

Lorenz T Biegler

ISBN 10: 0898717027 / ISBN 13: 9780898717020

Verlag: Society For Industrial And Applied Mathematics (SIAM) Okt 2010, 2010

Beschreibung

Neuware - 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. Bestandsnummer des Verkäufers 9780898717020

Bibliografische Details

Titel: Nonlinear Programming : Concepts, Algorithms...

Verlag: Society For Industrial And Applied Mathematics (SIAM) Okt 2010

Erscheinungsdatum: 2010

Einband: Buch

Zustand: Neu

Über diesen Titel

Inhaltsangabe:

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.

Über die Autorin bzw. den Autor:

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.