Mathematical biology : modeling and analysis
Author(s)
Bibliographic Information
Mathematical biology : modeling and analysis
(Regional conference series in mathematics, no. 127)
Published for the Conference Board of the Mathematical Sciences by the American Mathematical Society, c2018
Available at 25 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
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  France
  Belgium
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  United States of America
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
FRI||5||11200037721922
Note
Published with support from the National Science Foundation
"2018 NSF-CBMS Regional Research Conferences in the Mathematical Sciences on "Mathematical Biology: Modeling and Analysis" hosted by Howard University in Washington, DC, May 21-25, 2018"--T.p. verso
"Applied mathematics"--Cover
Includes bibliographical references (p. 95-97) and index
Description and Table of Contents
Description
The fast growing field of mathematical biology addresses biological questions using mathematical models from areas such as dynamical systems, probability, statistics, and discrete mathematics.
This book considers models that are described by systems of partial differential equations, and it focuses on modeling, rather than on numerical methods and simulations. The models studied are concerned with population dynamics, cancer, risk of plaque growth associated with high cholesterol, and wound healing. A rich variety of open problems demonstrates the exciting challenges and opportunities for research at the interface of mathematics and biology. This book primarily addresses students and researchers in mathematics who do not necessarily have any background in biology and who may have had little exposure to PDEs.
Table of Contents
Introductory biology
Introduction to modeling
Models of population dynamics
Cancer and the immune system
Parameters estimation
Mathematical analysis inspired by cancer models
Mathematical model of artherosclerosis: Risk of high cholesterol
Mathematical analysis inspired by the atherosclerosis model
Mathematical models of chronic wounds
Mathematical analysis inspired by the chronic wound model
Introduction to PDEs
Bibliography
Index
by "Nielsen BookData"