This accessible text presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as the fundamental mathematical background. The practical constraints presented by each modeling technique are described in detail, enabling the researcher to determine which software package would be most useful for a particular problem. Features: introduces a basic array of techniques to formulate models of biological systems, and to solve them; discusses agent-based models, stochastic modeling techniques, differential equations, spatial simulations, and Gillespie's stochastic simulation algorithm; provides exercises; describes such useful tools as the Maxima algebra system, the PRISM model checker, and the modeling environments Repast Simphony and Smoldyn; contains appendices on rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts; offers supplementary material at an associated website.
Series
Edition
Softcover reprint of the original 2nd ed. 2015
Language
Place of publication
Target group
Primary & secondary/elementary & high school
Edition type
Illustrations
80 s/w Abbildungen
XII, 339 p. 80 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 20 mm
Weight
ISBN-13
978-1-4471-6898-0 (9781447168980)
DOI
10.1007/978-1-4471-6762-4
Schweitzer Classification
David J. Barnes
is a senior lecturer in computer science at the University of Kent, UK, with a strong background in the teaching of programming and the implementation of computational models of biological systems.
Dominique Chu
is a senior lecturer in computer science at the University of Kent, UK. He is an expert in mathematical and computational modeling of biological systems, with years of experience in these fields.
