Advanced Optimization for Process Systems Engineering by Ignacio E. Grossmann

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Specifiche dell'oggetto

Condizione
Nuovo: Libro nuovo, intatto e non letto, in perfette condizioni, senza pagine mancanti o ...
Book Title
Advanced Optimization for Process Systems Engineering
Publication Date
2021-03-25
ISBN
9781108831659
Categoria

Informazioni su questo prodotto

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
1108831656
ISBN-13
9781108831659
eBay Product ID (ePID)
2321139359

Product Key Features

Number of Pages
102 Pages
Publication Name
Advanced Optimization for Process Systems Engineering
Language
English
Subject
Chemical & Biochemical, Chemistry / Industrial & Technical
Publication Year
2021
Type
Textbook
Subject Area
Technology & Engineering, Science
Author
Ignacio E. Grossmann
Series
Cambridge Series in Chemical Engineering Ser.
Format
Hardcover

Dimensions

Item Height
0.6 in
Item Weight
21.2 Oz
Item Length
9.9 in
Item Width
7.6 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
23
Reviews
'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
Illustrated
Yes
Dewey Decimal
660.2815
Table Of Content
Preface; 1. Optimization in process systems engineering; 2. Solving nonlinear equations; 3. Basic theoretical concepts in optimization; 4. Nonlinear programming algorithms; 5. Linear programming; 6. Mixed-integer programming models; 7. Systematic modeling of constraints with logic; 8. Mixed-integer linear programming; 9 Mixed-integer nonlinear programming; 10. Generalized disjunctive programming; 11. Constraint programming; 12. Nonconvex optimization; 13. Lagrangean decomposition; 14. Stochastic programming; 15. Flexibility analysis; Appendix A. Modeling systems and optimization software; Appendix B. Optimization models for process systems engineering; References; Index.
Synopsis
A unique text covering basic and advanced concepts of optimization theory and methods for process systems engineers. With examples illustrating key concepts and algorithms, and exercises involving theoretical derivations, numerical problems and modeling systems, it is ideal for single-semester, graduate courses in process systems engineering., 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.
LC Classification Number
TP155.75

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