Numerical Methods in Biomedical Engineering

By

  • Stanley Dunn, Ph.D., School of Engineering, Rensselaer Polytechnic Institute, Troy, NY USA
  • Stanley Dunn, Ph.D., School of Engineering, Rensselaer Polytechnic Institute, Troy, NY USA
  • Alkis Constantinides, Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
  • Alkis Constantinides, Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
  • Prabhas Moghe, Ph.D., Department of Biomedical Engineering & Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
  • Prabhas Moghe, Ph.D., Department of Biomedical Engineering & Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA

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.
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Audience

Biomedical engineering students; engineers; technicians

 

Book information

  • Published: November 2005
  • Imprint: ACADEMIC PRESS
  • ISBN: 978-0-12-186031-8

Reviews

"...an excellent and well-rounded introduction to numerical analysis, which also provides a stimulating overview of the field of biomedical engineering." - Biotechnology Focus, 2006



Table of Contents

Section I: Fundamentals of Computational Analysis and Modeling Biosystems; Section II: Steady State Biosystems: Linear and Non-linear Models; Section III: Dynamic Biosystems Modeled with Ordinary or Partial Differential Equations; Section IV: Computational Packages of Physiology Models and Case Studies.