Editors:
- Offers an introductory glimpse at recent research in mathematical biology
- Includes research and review articles on a wide range of topics and applications
- Perfect for students interested in doing research in quantitative modeling and analysis in the life sciences
Part of the book series: Association for Women in Mathematics Series (AWMS, volume 8)
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Table of contents (13 papers)
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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Department of Mathematics, Duke University, Durham, USA
Anita T. Layton
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Departments of Mathematics and Biology, University of North Carolina, Chapel Hill, USA
Laura A. Miller
About the editors
Laura Miller is Associate Professor of Biology and Mathematics at the University of North Carolina at Chapel Hill, where she also serves as Principal Investigator of the Mathematical Physiology Group. Her research examines the developmental and evolutionary significance of fluid dynamic forces in biological systems, particularly how biological structures have evolved to increase fluid transport and locomotion efficiency, the way fluid forces constrain biological design, and the influence of fluid scaling effects during animal development.
Bibliographic Information
Book Title: Women in Mathematical Biology
Book Subtitle: Research Collaboration Workshop, NIMBioS, Knoxville, June 2015
Editors: Anita T. Layton, Laura A. Miller
Series Title: Association for Women in Mathematics Series
DOI: https://doi.org/10.1007/978-3-319-60304-9
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: 978-3-319-60302-5Published: 01 September 2017
Softcover ISBN: 978-3-319-86831-8Published: 04 August 2018
eBook ISBN: 978-3-319-60304-9Published: 30 August 2017
Series ISSN: 2364-5733
Series E-ISSN: 2364-5741
Edition Number: 1
Number of Pages: VIII, 252
Number of Illustrations: 43 b/w illustrations, 72 illustrations in colour
Topics: Physiological, Cellular and Medical Topics, Mathematical Modeling and Industrial Mathematics