Guide to Simulation and Modeling for Biosciences (Hardcover, 2nd ed. 2015)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Simulation Foundations, Methods and Applications
Release date:	September 2015
First published:	2015
Authors:	David J. Barnes • Dominique Chu
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	339
Edition:	2nd ed. 2015
ISBN-13:	978-1-4471-6761-7
Languages:	English
Subtitles:	English
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Promotions
LSN:	1-4471-6761-9
Barcode:	9781447167617

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