Authors:
- Unique book with respect to the existing literature; very little is available in the field using this particular approach
- Using new methods and tools from mathematical kinetic theory and stochastic game theory, this book examines the modeling of living systems as opposed to inert systems
- Real-world applications to immunology, transportation engineering, and economics
- Appeals to a broad audience: applied mathematicians, engineers, physicists, biologists, economists, and graduate students involved in modeling complex social systems and living matter in general
- Includes supplementary material: sn.pub/extras
Part of the book series: Modeling and Simulation in Science, Engineering and Technology (MSSET)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Keywords
Reviews
Authors and Affiliations
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Dipartimento di Matematica, Politecnico di Torino, 10129 Torino, Italy
Nicola Bellomo
Bibliographic Information
Book Title: Modeling Complex Living Systems
Book Subtitle: A Kinetic Theory and Stochastic Game Approach
Authors: Nicola Bellomo
Series Title: Modeling and Simulation in Science, Engineering and Technology
DOI: https://doi.org/10.1007/978-0-8176-4600-4
Publisher: Birkhäuser Boston, MA
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Birkhäuser Boston 2008
Hardcover ISBN: 978-0-8176-4510-6Published: 14 November 2007
eBook ISBN: 978-0-8176-4600-4Published: 05 October 2007
Series ISSN: 2164-3679
Series E-ISSN: 2164-3725
Edition Number: 1
Number of Pages: XII, 220
Number of Illustrations: 37 b/w illustrations
Topics: Mathematical Modeling and Industrial Mathematics, Applications of Mathematics, Mathematical and Computational Biology, Game Theory, Economics, Social and Behav. Sciences, Mathematical Methods in Physics, Mathematical and Computational Engineering