Introduction to Modeling and Numerical Methods for Biomedical and Chemical Engineers

Author:   Edward Gatzke
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
ISBN:  

9783030764517


Pages:   288
Publication Date:   04 September 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Introduction to Modeling and Numerical Methods for Biomedical and Chemical Engineers


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Overview

This textbook introduces the concepts and tools that biomedical and chemical engineering students need to know in order to translate engineering problems into a numerical representation using scientific fundamentals. Modeling concepts focus on problems that are directly related to biomedical and chemical engineering. A variety of computational tools are presented, including MATLAB, Excel, Mathcad, and COMSOL, and a brief introduction to each tool is accompanied by multiple computer lab experiences. The numerical methods covered are basic linear algebra and basic statistics, and traditional methods like Newton’s method, Euler Integration, and trapezoidal integration. The book presents the reader with numerous examples and worked problems, and practice problems are included at the end of each chapter.

Full Product Details

Author:   Edward Gatzke
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Weight:   0.468kg
ISBN:  

9783030764517


ISBN 10:   3030764516
Pages:   288
Publication Date:   04 September 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Ed Gatzke joined the faculty of the Department of Chemical Engineering at the University of South Carolina in 2001. He has received Humboldt Faculty Award, the AIChE Himmelblau Award, and the NSF Career Award. His work considers optimization, modeling, and control of dynamic nonlinear systems. Application areas examined include biomedical systems, particulate systems, energy production systems, and traditional chemical processes. He has served for many years as faculty advisor for the USC Tau Beta Pi chapter, the USC Gamecock Toastmasters club, and the USC Engineering and Computing Living and Learning Community.

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