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Informationen zum Autor Dr. Dunn joined Rensselaer Polytechnic Institute in 2008 as Vice Provost and Dean of Graduate Education and full Professor in the School of Engineering. Dunn's experience includes developing university-wide initiatives in such areas as packaging engineering, water resource management, and homeland security. He also has extensive experience building academic programs, including overseeing the country's first engineering-based clinical training program in prosthetics and orthotics. Dunn has mentored 14 Ph.D. students, 23 M.S. students, and many undergraduate students. These students have come from biomedical engineering, electrical and computer engineering, computer science, mathematics, dentistry, as well as the M.D./Ph.D. program. The author of three books and 150 papers on different subjects including digital subtraction radiography, Dunn is a fellow of the American Institute of Medical and Biological Engineering. He is the founding editor-in-chief of the Journal of Applied Packaging Research and has served as an editor and officer of several journals and professional organizations. Klappentext 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. Inhaltsverzeichnis 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 Index ...
