
Partial Differential Equation Analysis in Biomedical Engineering
Case Studies with Matlab
William E. Schiesser(Author)
Cambridge University Press
Published on 15. November 2012
Book
Hardback
430 pages
978-1-107-02280-5 (ISBN)
Description
Aimed at graduates and researchers, and requiring only a basic knowledge of multi-variable calculus, this introduction to computer-based partial differential equation (PDE) modeling provides readers with the practical methods necessary to develop and use PDE mathematical models in biomedical engineering. Taking an applied approach, rather than using abstract mathematics, the reader is instructed through six biomedical example applications, each example characterized by step-by-step discussions of established numerical methods and implemented in reliable computer routines. Adopting this technique, the reader will understand how PDE models are formulated, implemented and tested. Supported by a set of rigorously tested general purpose PDE routines online, and with enhanced understanding through animations, this book will be ideal for anyone faced with interpreting large experimental data sets that need to be analyzed with PDE models in biomedical engineering.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Product notice
sewn/stitched
Cloth over boards
Illustrations
Worked examples or Exercises; 15 Tables, unspecified; 20 Line drawings, unspecified
Dimensions
Height: 249 mm
Width: 175 mm
Thickness: 23 mm
Weight
980 gr
ISBN-13
978-1-107-02280-5 (9781107022805)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

William E. Schiesser
Partial Differential Equation Analysis in Biomedical Engineering
Case Studies with Matlab
E-Book
01/2013
1st Edition
Cambridge University Press
€112.99
Available for download
Person
William E. Schiesser is Emeritus R. L. McCann Professor of Chemical Engineering and Professor of Mathematics at Lehigh University.
Content
1. Introduction to partial differential equation integration in space and time; 2. Antibody binding kinetics; 3. Acid-mediated tumour growth; 4. Retinal oxygen transport; 5. Hemodialyzer dynamics; 6. Epidermal wound healing; 7. Drug distribution from a polymer matrix.