Editors:
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 122)
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Table of contents (8 papers)
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Front Matter
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Back Matter
About this book
This book presents and discusses the state of the art and future perspectives in mathematical modeling and homogenization techniques with the focus on addressing key physiological issues in the context of multiphase healthy and malignant biological materials. The highly interdisciplinary content brings together contributions from scientists with complementary areas of expertise, such as pure and applied mathematicians, engineers, and biophysicists. The book also features the lecture notes from a half-day introductory course on asymptotic homogenization. These notes are suitable for undergraduate mathematics or physics students, while the other chapters are aimed at graduate students and researchers.
Editors and Affiliations
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Department of Mathematics, Numerical Analysis and Scientific Computing Group, Technische Universität Darmstadt, Darmstadt, Germany
Alf Gerisch, Jens Lang
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School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom
Raimondo Penta
Bibliographic Information
Book Title: Multiscale Models in Mechano and Tumor Biology
Book Subtitle: Modeling, Homogenization, and Applications
Editors: Alf Gerisch, Raimondo Penta, Jens Lang
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-319-73371-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-73370-8Published: 17 March 2018
Softcover ISBN: 978-3-030-10363-7Published: 09 December 2018
eBook ISBN: 978-3-319-73371-5Published: 16 March 2018
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: XIV, 195
Topics: Computational Mathematics and Numerical Analysis, Physiological, Cellular and Medical Topics, Partial Differential Equations, Approximations and Expansions