Editors:
Focused study of modeling from model design to model identifiability and validation
Written by current leading experts in the field and including topics of current research interest in state of the art questions and methods
Focus on interdisciplinary (physiological and mathematical) collaboration and applications of modeling with clinical relevance
Presentation of key theoretical ideas and current areas of research interest through clear and motivated examples of application and implementation
Part of the book series: Lecture Notes in Mathematics (LNM, volume 2064)
Part of the book sub series: Mathematical Biosciences Subseries (LNMBIOS)
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Table of contents (11 chapters)
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Front Matter
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Theory
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Front Matter
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Practice
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Front Matter
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Back Matter
About this book
Keywords
- 34-XX, 92-XX, 92C30, 92C42, 92C50, 93A30
- experimental design
- interdisciplinary research
- model development and parameter identification
- sensitivity analysis
Editors and Affiliations
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Mathematics and Scientific Computing, University of Graz, Graz, Austria
Jerry J. Batzel
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College of Sciences, Department of Mathematics, King Saud University, Riyadh, Saudi Arabia
Mostafa Bachar
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Institute for Mathematics, and Scientific Computing, University of Graz, Graz, Austria
Franz Kappel
Bibliographic Information
Book Title: Mathematical Modeling and Validation in Physiology
Book Subtitle: Applications to the Cardiovascular and Respiratory Systems
Editors: Jerry J. Batzel, Mostafa Bachar, Franz Kappel
Series Title: Lecture Notes in Mathematics
DOI: https://doi.org/10.1007/978-3-642-32882-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-32881-7Published: 14 December 2012
eBook ISBN: 978-3-642-32882-4Published: 14 December 2012
Series ISSN: 0075-8434
Series E-ISSN: 1617-9692
Edition Number: 1
Number of Pages: XX, 254
Number of Illustrations: 49 b/w illustrations, 34 illustrations in colour
Topics: Mathematical and Computational Biology, Human Physiology, Computational and Systems Biology