Numerical methods in biomedical engineering /

Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques...

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Bibliographic Details
Corporate Authors: Elsevier Science & Technology.
Group Author: Dunn, Stanley Martin (Editor); Constantinides, A. (Editor); Moghe, Prabhas V. (Editor)
Published: Elsevier Academic Press,
Publisher Address: Amsterdam ; Boston :
Publication Dates: 2006.
Literature type: eBook
Language: English
Series: Academic Press series in biomedical engineering
Subjects:
Online Access: http://www.sciencedirect.com/science/book/9780121860318
Summary: Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques of numerical analysis. Covering biomechanical phenomena and physiologic, cell and molecular systems, this is an essential tool for students and all those studying biomedical transport, biomedical thermodynamics & kinetics and biomechanics. Supported by Whitaker Foundation Teaching Materials Program; ABET-oriented pedagogical layout MATLAB problem sets and examples available electronically; UNIX, Windows, Mac OS compatible Extensive hands-on homework exercises.
Carrier Form: 1 online resource (xviii, 615 pages) : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9780080470801
0080470807
9780121860318
0121860310
Index Number: R857
CLC: R318-32
Contents: Modeling biosystems -- Introduction to computing -- Concepts of numerical analysis -- Linear models of biological systems -- Nonlinear equations in biomedical engineering -- Finite difference methods, interpolation and integration -- Dynamic systems : ordinary differential equations -- Dynamic systems : partial differential equations -- Measurements, models and statistics -- Modeling biosystems : applications.