Computation of Mathematical Models for Complex Industrial Processes

Tian, Yu-Chu, Zhang, Tonghua, Yao, Hongmei, & Tadé, Moses O. (2014) Computation of Mathematical Models for Complex Industrial Processes. Advances in Process Systems Engineering, 4. World Scientific Publishing Co. Pte. Ltd., Singapore.

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Abstract

Designed for undergraduate and postgraduate students, academic researchers and industrial practitioners, this book provides comprehensive case studies on numerical computing of industrial processes and step-by-step procedures for conducting industrial computing. It assumes minimal knowledge in numerical computing and computer programming, making it easy to read, understand and follow. Topics discussed include fundamentals of industrial computing, finite difference methods, the Wavelet-Collocation Method, the Wavelet-Galerkin Method, High Resolution Methods, and comparative studies of various methods. These are discussed using examples of carefully selected models from real processes of industrial significance. The step-by-step procedures in all these case studies can be easily applied to other industrial processes without a need for major changes and thus provide readers with useful frameworks for the applications of engineering computing in fundamental research problems and practical development scenarios.

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ID Code: 78706
Item Type: Book
Keywords: Mathematical models, process modelling, model computation, industrial processes, numerical computation
ISBN: 9789814360937
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Numerical and Computational Mathematics not elsewhere classified (010399)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTATION THEORY AND MATHEMATICS (080200) > Numerical Computation (080205)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CHEMICAL ENGINEERING (090400) > Process Control and Simulation (090407)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 World Scientific Publishing Co. Pte. Ltd.
Deposited On: 17 Nov 2014 00:30
Last Modified: 18 Nov 2015 15:14

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