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Practical chemical process optimizat...

Kookos, Ioannis K.

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Practical chemical process optimization = with MATLAB® and GAMS® /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Practical chemical process optimization/ by Ioannis K. Kookos.
Reminder of title:	with MATLAB® and GAMS® /
Author:	Kookos, Ioannis K.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xi, 439 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Preliminary concepts and definitions -- 2. Multidimensional unconstrained optimization -- 3. Constrained optimization -- 4. Linear programming -- 5. Integer and Mixed Integer Programming Problems -- 6. Solving optimization problems in GAMS -- 7. Representative optimization problems in chemical engineering solved in GAMS -- Appendix A: Introduction to MATLAB -- Literature and Notes for Further Study -- Index.
Contained By:	Springer Nature eBook
Subject:	Chemical processes - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-031-11298-0
ISBN:	9783031112980

Practical chemical process optimization = with MATLAB® and GAMS® /
Kookos, Ioannis K.

Practical chemical process optimizationwith MATLAB® and GAMS® /[electronic resource] :by Ioannis K. Kookos. - Cham :Springer International Publishing :2022. - xi, 439 p. :ill., digital ;24 cm. - Springer optimization and its applications,v. 1971931-6836 ;. - Springer optimization and its applications ;v. 197..

1. Preliminary concepts and definitions -- 2. Multidimensional unconstrained optimization -- 3. Constrained optimization -- 4. Linear programming -- 5. Integer and Mixed Integer Programming Problems -- 6. Solving optimization problems in GAMS -- 7. Representative optimization problems in chemical engineering solved in GAMS -- Appendix A: Introduction to MATLAB -- Literature and Notes for Further Study -- Index.

This text provides the undergraduate chemical engineering student with the necessary tools for problem solving in chemical or bio-engineering processes. In a friendly, simple, and unified framework, the exposition aptly balances theory and practice. It uses minimal mathematical concepts, terms, algorithms, and describes the main aspects of chemical process optimization using MATLAB and GAMS. Numerous examples and case studies are designed for students to understand basic principles of each optimization method and elicit the immediate discovery of practical applications. Problem sets are directly tied to real-world situations most commonly encountered in chemical engineering applications. Chapters are structured with handy learning summaries, terms and concepts, and problem sets, and individually reinforce the basics of particular optimization methods. Additionally, the wide breadth of topics that may be encountered in courses such as Chemical Process Optimization, Chemical Process Engineering, Optimization of Chemical Processes, are covered in this accessible text. The book provides formal introductions to MATLAB, GAMS, and a revisit to pertinent aspects of undergraduate calculus. While created for coursework, this text is also suitable for independent study. A full solutions manual is available to instructors who adopt the text for their course.

ISBN: 9783031112980

Standard No.: 10.1007/978-3-031-11298-0doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

719100
Chemical processes
--Data processing.

LC Class. No.: TP155.75 / .K66 2022

Dewey Class. No.: 660.01518

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520 $a This text provides the undergraduate chemical engineering student with the necessary tools for problem solving in chemical or bio-engineering processes. In a friendly, simple, and unified framework, the exposition aptly balances theory and practice. It uses minimal mathematical concepts, terms, algorithms, and describes the main aspects of chemical process optimization using MATLAB and GAMS. Numerous examples and case studies are designed for students to understand basic principles of each optimization method and elicit the immediate discovery of practical applications. Problem sets are directly tied to real-world situations most commonly encountered in chemical engineering applications. Chapters are structured with handy learning summaries, terms and concepts, and problem sets, and individually reinforce the basics of particular optimization methods. Additionally, the wide breadth of topics that may be encountered in courses such as Chemical Process Optimization, Chemical Process Engineering, Optimization of Chemical Processes, are covered in this accessible text. The book provides formal introductions to MATLAB, GAMS, and a revisit to pertinent aspects of undergraduate calculus. While created for coursework, this text is also suitable for independent study. A full solutions manual is available to instructors who adopt the text for their course.
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