Cambridge Series in Chemical Engineering #: Advanced Optimization for Process Systems Engineering

Cambridge Series in Chemical Engineering #: Advanced Optimization for Process Systems Engineering
Ignacio E Grossmann
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NZ$ 143.95
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NZ$ 129.56
Hardback
Not defined - 200pg
25 Mar 2021 UK
International import eta 7-19 days
9781108831659
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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.

Advanced Optimization for Process Systems Engineering
Chemical Production Scheduling: Mixed-Integer Programming Models and Methods
Chemistry of Fossil Fuels and Biofuels
Computational Models for Polydisperse Particulate and Multiphase Systems
Dynamics of Multiphase Flows
Fed-Batch Cultures: Principles and Applications of Semi-Batch Bioreactors
Optimization for Chemical and Biochemical Engineering
Perfusion Cell Culture Processes for Biopharmaceuticals
Theory and Applications of Colloidal Suspension Rheology
Understanding Process Dynamics and Control

' Authored by Ignacio E. Grossmann, the creator and key developer of the field of mixed integer nonlinear programming, this outstanding textbook provides a thorough and comprehensive treatment of fundamental concepts, optimization models and effective solution strategies for discrete and continuous optimization. It is . . . an essential, ' must-have' reference for all students, researchers, and practitioners in process systems engineering. ' Lorenz Biegler, Carnegie Mellon University ' From the globally recognized leading authority in the field of process systems engineering, this long-awaited book will definitely become the standard reference for anyone interested in optimization. It is very well thought and written, with excellent presentation of the material. The theory is described in a very effective, rigorous, and clear way, with appropriate explanations and examples used throughout, covering traditional topics such as linear and nonlinear optimization concepts and mixed-integer linear programming, along with more advanced topics, such as disjunctive programming, global optimization, and stochastic programming. A real gem and a must read!' Stratos Pistikopoulos, Texas A & M University ' Excellent coverage of the basic concepts and approaches developed in the area of process systems engineering in the last 40 years. A unique book that can be easily adapted to advance undergraduate- and graduate-level classes to provide overall guidance to different tools that can be used to model and optimize complex engineering problems. I am certainly looking forward to using it in my class on mathematical modeling and optimization principles. ' Marianthi Ierapetritou, University of Delaware
Ignacio E. Grossmann is the R. R. Dean University Professor of Chemical Engineering at Carnegie Mellon University, and Director of the Center for Advanced Process Decision-making. He is a member of the National Academy of Engineering.
Status: Active
ISBN-13: 9781108831659
Published: 25 Mar 2021
Published In: United Kingdom
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Format: Hardback
Pages: 200

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