Guide to Simulation and Modeling for Biosciences (Simulation Foundations, Methods and Applications)

Barnes, David J.; Chu, Dominique

ISBN 10: 1447167619 / ISBN 13: 9781447167617

Edité par Springer, 2015

A propos de cet article

pp. 339.

N° de réf. du vendeur 374308959

Détails bibliographiques

• Titre: Guide to Simulation and Modeling for Biosciences (Simulation Foundations, Methods and Applications)
• Éditeur: Springer
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 1447167619
• ISBN à 13 chiffres: 9781447167617
• Reliure: Couverture rigide
• Édition: 2ème Édition
• État de l'article: New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.