Filling a void in chemical engineering and optimization literature, this book presents the theory and methods for nonlinear and mixed-integer optimization, and their applications in the important area of process synthesis. Other topics include modeling issues in process synthesis, and optimization-based approaches in the synthesis of heat recovery systems, distillation-based systems, and reactor-based systems. The basics of convex analysis and nonlinear optimization are also covered and the elementary concepts of mixed-integer linear optimization are introduced. All chapters have several illustrations and geometrical interpretations of the material as well as suggested problems. Nonlinear and Mixed-Integer Optimization will prove to be an invaluable source--either as a textbook or a reference--for researchers and graduate students interested in continuous and discrete nonlinear optimization issues in engineering design, process synthesis, process operations, applied mathematics, operations research, industrial management, and systems engineering.
Nonlinear and Mixed-Integer Optimization
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"The author of this book has contributed to this field, notably in the past decade . . . a useful aid for graduates or postgraduates on a process synthesis course, or to practitioners in the field."--Chemistry & Industry
About the Author
Christodoulos A. Floudas is at Princeton University.
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4.0 out of 5 stars
covers what I need,
By Amir (Iran(Qazvin)/Washington DC) - See all my reviews
This review is from: Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications (Topics in Chemical Engineering) (Hardcover)
I wonder how this book is not reviewed since 1995! I know many people use it as their favorite source for teaching and referring.
I think this book covers the essential of many different walk of optimization and specially with useful applications for mechanical and process engineers.
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Inside This Book
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First Sentence:
This chapter introduces the reader to elementary concepts of modeling, generic formulations for nonlinear and mixed integer optimization models, and provides some illustrative applications. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
isothermal mixing assumption, relaxed master problem, infeasible primal problems, cold process streams, relaxation master problem, minimum investment cost network, primal master problem, transshipment model, minimum utility cost, transshipment representation, transshipment constraints, reactor network superstructure, simplified superstructure, generalized cross decomposition, utility cost calculation, cold utility loads, hyperstructure representation, isothermal reactor networks, primal subproblem, optimal process flowsheet, candidate subproblems, unknown outlet temperature, hot process streams, inner optimization problems, enthalpy intervals Key Phrases - Capitalized Phrases (CAPs): (learn more)
Fritz John, Problem Statement Given, Van Roy New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This chapter introduces the reader to elementary concepts of modeling, generic formulations for nonlinear and mixed integer optimization models, and provides some illustrative applications. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
isothermal mixing assumption, relaxed master problem, infeasible primal problems, cold process streams, relaxation master problem, minimum investment cost network, primal master problem, transshipment model, minimum utility cost, transshipment representation, transshipment constraints, reactor network superstructure, simplified superstructure, generalized cross decomposition, utility cost calculation, cold utility loads, hyperstructure representation, isothermal reactor networks, primal subproblem, optimal process flowsheet, candidate subproblems, unknown outlet temperature, hot process streams, inner optimization problems, enthalpy intervals Key Phrases - Capitalized Phrases (CAPs): (learn more)
Fritz John, Problem Statement Given, Van Roy New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 25
books:
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8
books
cite this book:
See all 8 books citing this book
- Nonlinear Programming: Sequential Unconstrained Minimization Techniques (Classics in Applied Mathematics) by Anthony V. Fiacco in Back Matter (1), and Back Matter (2)
- A Collection of Test Problems for Constrained Global Optimization Algorithms (Lecture Notes in Computer Science) by Christodoulos A. Floudas in Back Matter
- Optimization Theory: The Finite Dimensional Case (Pure & Applied Mathematics) by Magnus R. Hestenes in Back Matter
- Engineering Optimization: methods and applications by A. Ravindran in Back Matter
- Integer and Combinatorial Optimization by Laurence A. Wolsey in Back Matter
See all 25 books this book cites
- Optimal Reliability Design: Fundamentals and Applications by Way Kuo in Back Matter
- Structural Biology of the Complement System by Dimitrios Morikis on page 340
- Frontiers in Global Optimization (Nonconvex Optimization and Its Applications (closed)) by Christodoulos A. Floudas on page 310
- Batch Processes (Chemical Industries) by Ekaterini Korovessi on page 383
- Survivability and Traffic Grooming in WDM Optical Networks by Arun Somani in Back Matter
See all 8 books citing this book
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