Mathematical Modeling for the Life Sciences

  • Jacques Istas
Book

Part of the Universitext book series (UTX)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Pages 119-139
  3. Back Matter
    Pages 141-168

About this book

Introduction

Proposing a wide range of mathematical models that are currently used in life sciences may be regarded as a challenge, and that is precisely the challenge that this book takes up. Of course this panoramic study does not claim to offer a detailed and exhaustive view of the many interactions between mathematical models and life sciences. This textbook provides a general overview of realistic mathematical models in life sciences, considering both deterministic and stochastic models and covering dynamical systems, game theory, stochastic processes and statistical methods. Each mathematical model is explained and illustrated individually with an appropriate biological example. Finally three appendices on ordinary differential equations, evolution equations, and probability are added to make it possible to read this book independently of other literature.

Keywords

Dynamical systems STATISTICA ecology mathematical biology statistical methods stochastic processes

Authors and affiliations

  • Jacques Istas
    • 1
  1. 1.Départment IMSS BSHMUniversité Pierre Mendès-FranceGrenobleFrance

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-27877-X
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-540-25305-1
  • Online ISBN 978-3-540-27877-1
  • About this book