An Introduction to Modeling of Transport Processes: Applications to Biomedical Systems / Edition 1

An Introduction to Modeling of Transport Processes: Applications to Biomedical Systems / Edition 1

by Ashim Datta, Vineet Rakesh
     
 

Organised around problem solving, this book introduces the reader to computational simulation, bridging fundamental theory with real-world applications.See more details below

Overview

Organised around problem solving, this book introduces the reader to computational simulation, bridging fundamental theory with real-world applications.

Product Details

ISBN-13:
9780521119245
Publisher:
Cambridge University Press
Publication date:
12/31/2009
Series:
Cambridge Texts in Biomedical Engineering Series
Edition description:
New Edition
Pages:
532
Product dimensions:
7.60(w) x 9.70(h) x 1.20(d)

Meet the Author

Ashim Datta is a Professor in the Department of Biological and Environmental Engineering at Cornell University, where he has developed and taught modeling of biomedical processes as a course since 1996. He is recipient of the Michael Tien '72 Excellence in Teaching Award from the College of Engineering, and he has authored and co-authored over 85 technical papers and book chapters, authored a textbook and also co-edited three books on biological heat and mass transfer.

Vineet Rakesh is a Research Scientist in the Computational Medicine and Biology Division of a biomedical research company.He received his Ph.D. in Biological Engineering from Cornell University.He has also worked as a teaching assistant for the biomedical process modeling course at Cornell for three years and has been presented with the Outstanding Teaching Assistant award. His research has included modeling of airflow in the upper airway and drug transport in cancer therapy.

Table of Contents

Part I. Essential Steps: 1. Problem formulation; 2. Software implementation: what to solve; 3. Software implementation: how to solve (preprocessing); 4. Software implementation: visualizing and manipulating solution (postprocessing); 5. Validation, sensitivity analysis, optimization and debugging; Part II. Case Studies: 6. Case studies; Part III. Background Material: 7. Governing equations and boundary conditions; 8. Source terms; 9. Material properties and other input parameters; 10. Solving the equations: numerical methods.

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