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Advanced Optimization for Process Systems Engineering

Authors

Ignacio E. Grossmann
, Carnegie Mellon University, Pennsylvania
Published 2021

Description

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…

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Key features

  • Covers both basic and advanced concepts of optimization theory and methods, ideal for single semester courses
  • Mathematically accessible, requiring only a basic background in calculus and linear algebra
  • Provides numerous end-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS. A full solutions manual accompanies the text

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