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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Corporate Authors: | |
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Group Author: | ; ; |
Published: |
Elsevier Academic Press,
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Publisher Address: | Amsterdam ; Boston : |
Publication Dates: | 2006. |
Literature type: | eBook |
Language: | English |
Series: |
Academic Press series in biomedical engineering
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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. |