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