Nonlinear Systems and Optimization for the Chemical Engineer
Nonlinear Systems and Optimization for the Chemical Engineer

Author: Guido Buzzi-Ferraris

Publisher: John Wiley & Sons

Published: 2013-12-13

Total Pages: 531

ISBN-13: 3527667164

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This third book in a suite of four practical guides is an engineer's companion to using numerical methods for the solution of complex mathematical problems. The required software is provided by way of the freeware mathematical library BzzMath that is developed and maintained by the authors. The present volume focuses on optimization and nonlinear systems solution. The book describes numerical methods, innovative techniques and strategies that are all implemented in a well-established, freeware library. Each of these handy guides enables the reader to use and implement standard numerical tools for their work, explaining the theory behind the various functions and problem solvers, and showcasing applications in diverse scientific and engineering fields. Numerous examples, sample codes, programs and applications are proposed and discussed. The book teaches engineers and scientists how to use the latest and most powerful numerical methods for their daily work.

Nonlinear Programming
Nonlinear Programming

Author: Lorenz T. Biegler

Publisher: SIAM

Published: 2010-01-01

Total Pages: 411

ISBN-13: 0898719380

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This book addresses modern nonlinear programming (NLP) concepts and algorithms, especially as they apply to challenging applications in chemical process engineering. The author provides a firm grounding in fundamental NLP properties and algorithms, and relates them to real-world problem classes in process optimization, thus making the material understandable and useful to chemical engineers and experts in mathematical optimization.

Nonlinear Optimization Applications Using the GAMS Technology
Nonlinear Optimization Applications Using the GAMS Technology

Author: Neculai Andrei

Publisher: Springer Science & Business Media

Published: 2013-06-22

Total Pages: 356

ISBN-13: 1461467977

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Here is a collection of nonlinear optimization applications from the real world, expressed in the General Algebraic Modeling System (GAMS). The concepts are presented so that the reader can quickly modify and update them to represent real-world situations.

Nonlinear and Mixed-Integer Optimization
Nonlinear and Mixed-Integer Optimization

Author: Christodoulos A. Floudas

Publisher: Oxford University Press

Published: 1995-10-05

Total Pages: 475

ISBN-13: 0195100565

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This volume presents the fundamentals of nonlinear and mixed-integer optimisation, and their applications in the important area of process synthesis in chemical engineering. Topics that are unique include the theory and methods for mixed-integer nonlinear optimisation, introduction to modelling issues in process synthesis, and optimisation-based approaches in the synthesis of heat recovery systems, distillation-based systems, and reactor-based systems.

Advanced Optimization for Process Systems Engineering
Advanced Optimization for Process Systems Engineering

Author: Ignacio E. Grossmann

Publisher: Cambridge University Press

Published: 2021-03-25

Total Pages: 205

ISBN-13: 1108831656

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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.

Fundamentals and Linear Algebra for the Chemical Engineer
Fundamentals and Linear Algebra for the Chemical Engineer

Author: Guido Buzzi-Ferraris

Publisher: John Wiley & Sons

Published: 2010-04-26

Total Pages: 377

ISBN-13: 3527325522

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A practical engineer's companion to using numerical methods for the solution of complex mathematical problems. It thus enables readers to use and implement standard numerical tools in their work, explaining the theory behind the various functions and problem solvers, while showcasing applications in diverse scientific and engineering fields. The material is based on several tried-and-tested courses for scientists and engineers taught by the authors, and all the exercises and problems are classroom-tested. The required software is freeware developed and maintained by the authors, included on the accompanying CD-ROM, together with an installation tutorial, all the examples and sample codes described in the book, as well as a host of additional examples.

Optimization in Chemical Engineering
Optimization in Chemical Engineering

Author: Suman Dutta

Publisher: Cambridge University Press

Published: 2016-03-11

Total Pages: 384

ISBN-13: 1316691799

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Optimization is used to determine the most appropriate value of variables under given conditions. The primary focus of using optimisation techniques is to measure the maximum or minimum value of a function depending on the circumstances. This book discusses problem formulation and problem solving with the help of algorithms such as secant method, quasi-Newton method, linear programming and dynamic programming. It also explains important chemical processes such as fluid flow systems, heat exchangers, chemical reactors and distillation systems using solved examples. The book begins by explaining the fundamental concepts followed by an elucidation of various modern techniques including trust-region methods, Levenberg–Marquardt algorithms, stochastic optimization, simulated annealing and statistical optimization. It studies the multi-objective optimization technique and its applications in chemical engineering and also discusses the theory and applications of various optimization software tools including LINGO, MATLAB, MINITAB and GAMS.

Nonlinear Process Control
Nonlinear Process Control

Author: Michael A. Henson

Publisher: Prentice Hall

Published: 1997

Total Pages: 460

ISBN-13:

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Nonlinear Process Control assembles the latest theoretical and practical research on design, analysis and application of nonlinear process control strategies. It presents detailed coverage of all three major elements of nonlinear process control: identification, controller design, and state estimation. Nonlinear Process Control reflects the contributions of eleven leading researchers in the field. It is an ideal textbook for graduate courses in process control, as well as a concise, up-to-date reference for control engineers.