I am pleased to announce the publication of:
Advanced Optimization for Process Systems Engineering
by Cambridge University Press (ISBN: 9781108831659).
This new textbook, which is aimed at the graduate and advanced undergraduate level, 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, key concepts, models and algorithms are Illustrated with numerous examples. There are end-of-chapter exercises involving theoretical derivations and small numerical problems, including modeling problems in GAMS. Two appendices are also provided containing web links to modeling systems and models related to applications in PSE.
The book, which is also available in digital form (ISBN: 9781108917834), should also be a good supplement to the recent book by Christos Maravelias, Chemical Production Scheduling:
Mixed-Integer Programming Models and Methods.
Please let me know if you have any questions.
PS The book can be purchased from the Cambridge University link
or from Amazon https://www.amazon.com/Advanced-Optimization-Engineering-Cambridge-Chemical/dp/1108831656
-- _____________________________________________________ Ignacio E. Grossmann, R.R. Dean University Professor Center for Advanced Process Decision-making (CAPD) Department of Chemical Engineering Tel: 412-268-3642 Carnegie Mellon University Fax: 412-268-7139 Pittsburgh, PA 15213 email: [log in to unmask] http://egon.cheme.cmu.edu