Introduction to Modeling for Biosciences

Barnes, David J. and Chu, Dominique (2010) Introduction to Modeling for Biosciences. Springer ISBN 978-1849963251. (The full text of this publication is not available from this repository)

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Official URL
http://www.cs.kent.ac.uk/pubs/2010/3045

Abstract

In this book we seek to provide a detailed introduction to a range of modeling techniques that are appropriate for modeling in biosciences. The book is primarily intended for bioscientists, but will be equally useful for anybody wishing to start modeling in biosciences and related fields. The topics we discuss include agent-based models, stochastic modeling techniques, differential equations and Gillespie's stochastic simulation algorithm. Included in the book are practical introductions to a number of useful tools, such as the Maxima computer algebra system, the PRISM model checker, and the Repast Simphony agent modeling environment.

Item Type: Book
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group
Depositing User: David Barnes
Date Deposited: 21 Sep 2012 09:49
Last Modified: 25 Nov 2014 11:07
Resource URI: http://kar.kent.ac.uk/id/eprint/30639 (The current URI for this page, for reference purposes)
ORCiD (Barnes, David J.):
ORCiD (Chu, Dominique):
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