Ignacio Grossmann publishes his new textbook about basic and advanced concepts of optimization theory and methods for process systems engineers. The topics covered in this book include continuous, discrete and logic optimization, like linear, nonlinear, mixed-integer and generalized disjunctive programming, optimization under uncertainty like stochastic programming and flexibility analysis, as well as decomposition techniques like the Lagrangean and Benders decomposition.
Since only a basic understanding of calculus and linear algebra is required, he manages to enable an easy understanding and accessability of mathematical reasoning. Numerous examples illustrate the important concepts and algorithms. At the end of the chapters, he provides exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS to enhance understanding and help the students put knowledge into practice. A full solutions manual accompanies the text, 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.
About the author
Ignacio E. Grossmann, Carnegie Mellon University, Pennsylvania
Ignacio E. Grossmann is the R. R. Dean University Professor of Chemical Engineering at Carnegie Mellon University in Pennsylvania and Director of the Center for Advanced Process Decision-making. He is a member of the National Academy of Engineering and brings up to forty years of teaching experience.