Partial Differential Equation Analysis in Biomedical Engineering
Case Studies with Matlab
1st Edition
Published on 2. January 2013
430 pages
978-1-139-51260-2 (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
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises; 15 Tables, unspecified; 20 Line drawings, unspecified
File size
4869,05 MB
ISBN-13
978-1-139-51260-2 (9781139512602)
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
Book
11/2012
Cambridge University Press
€150.50
Shipment within 15-20 days
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.
