Titel: Numerical Methods in Biomedical Engineering
Autor/en: Stanley Dunn, Alkis Constantinides, Prabhas V. Moghe
ACADEMIC PR INC
November 2005 - gebunden - 615 Seiten
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
Extensive hands-on homework exercises
Chapter 1: Modeling Biosystems
Chapter 2: Introduction to Computing
Chapter 3: Concepts of Numerical Analysis
Chapter 4: Linear Models of Biological Systems
Chapter 5: Nonlinear Equations in Biomedical Engineering
Chapter 6: Finite Difference Methods, Interpolation and Integration
Chapter 7: Dynamic Systems: Ordinary Differential Equations
Chapter 8: Dynamic Systems: Partial Differential Equations
Chapter 9: Measurements, Models and Statistics
Chapter 10: Modeling Biosystems
Appendix A: Introduction to MATLAB
Appendix B: Introduction to Simulink
Appendix C: Review of Linear Algebra and Related MATLAB Commands
Appendix D: Analytical Solutions of Differential Equations
Appendix E: Numerical Stability and Other Topics
Stanley Dunn is the Paul S. and Mary W. Monroe Faculty Scholar and Professor of Biomedical Engineering at Rutgers University and Professor of Pediatrics at the Robert Wood Johnson Medical School. In addition, he holds graduate faculty appointments in Computer Science and Electrical and Computer Engineering at Rutgers. He has served as Graduate Program Director, Undergraduate Program Director, and Department Chair in Biomedical Engineering and currently serves as Associate Dean in the School of Engineering. A Fellow of AIMBE, his research interests are in localized tomography, pediatric neuroimaging, inverse problems and subspace projection methods and their application. Alkis Constantinides is a Professor of Chemical and Biochemical Engineering, with nearly forty years of academic and industrial experience. He is the author of the textbook Applied Numerical Methods with Personal Computers and the co-author of the textbook Numerical Methods for Chemical Engineers with MATLAB Applications. Dr. Constantinides has served as Chairman of the Department, Director of the Graduate Program, Director of the Undergraduate Program, and Director of Alumni Relations. He is the recipient of the prestigious Warren I. Susman Award for Excellence in Teaching (1991), and the recipient of the 1998, 1999, 2003, and 2005 Best Teacher of the Year Awards chosen by the Graduating Senior Class of the Department of Chemical and Biochemical Engineering Prabhas Moghe is Associate Professor of Biomedical Engineering and Associate Professor of Chemical and Biochemical Engineering at Rutgers University. In addition, he holds graduate faculty appointment in the Graduate Program in Cell and Developmental Biology at Rutgers/UMDNJ. He has served as Undergraduate Program Director in Biomedical Engineering and currently directs the NSF IGERT Program on Integratively Engineered Biointerfaces at Rutgers. A Fellow of the American Institute of Medical and Biological Engineering (AIMBE) and a recipient of the NSF CAREER Award and several teaching awards at Rutgers, Dr. Moghe has an active research program in the areas of cellular bioengineering; micro- and nano-systems bioengineering; and cell-interactive biomaterials.
"...an excellent and well-rounded introduction to numerical analysis, which also provides a stimulating overview of the field of biomedical engineering."
- Biotechnology Focus, 2006 "...an excellent and well-rounded introduction to numerical analysis, which also provides a stimulating overview of the field of biomedical engineering."
- Biotechnology Focus, 2006