Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approaches to dynamical systems in cellular biology.This text aims to develop improved mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to low copy numbers of biological molecules, such as mRNA and proteins that take part in biochemical reactions driving cellular processes. When trying to describe such biological processes, the traditional deterministic models are often inadequate, precisely because of these low copy numbers. This book presents stochastic models, which are necessary to account for small particle numbers and extrinsic noise sources. The complexity of these models depend upon whether the biochemical reactions are diffusion-limited or reaction-limited. In the former case, one needs to adopt the framework of stochastic reaction-diffusion models, while in the latter, one can describe the processes by adopting the framework of Markov jump processes and stochastic differential equations. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology will appeal to graduate students and researchers in the fields of applied mathematics, biophysics, and cellular biology. 392 pp. Englisch. N� de r�f. du vendeur 9783319626260

Contacter le vendeur

Acheter neuf

EUR 106,99

Autre devise

Frais de port : EUR 23

De Allemagne vers Etats-Unis

Destinations, frais et d�lais

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image d'archives

Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

Edit� par Springer, 2017

ISBN 10 : 3319626264 ISBN 13 : 9783319626260

Neuf Couverture rigide

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Etat : New. In. N� de r�f. du vendeur ria9783319626260_new

Contacter le vendeur

Acheter neuf

EUR 118,26

Autre devise

Frais de port : EUR 14,09

De Royaume-Uni vers Etats-Unis

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

Edit� par Springer, 2017

ISBN 10 : 3319626264 ISBN 13 : 9783319626260

Neuf Couverture rigide

Vendeur : dsmbooks, Liverpool, Royaume-Uni

�valuation du vendeur 4 sur 5 �toiles

Hardcover. Etat : New. New. book. N� de r�f. du vendeur D8F0-0-M-3319626264-6

Contacter le vendeur

Acheter neuf

EUR 108,06

Autre devise

Frais de port : EUR 29,40

De Royaume-Uni vers Etats-Unis

Destinations, frais et d�lais

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

David Holcman

Edit� par Springer International Publishing, 2017

ISBN 10 : 3319626264 ISBN 13 : 9783319626260

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approaches to dynamical systems in cellular biology.This text aims to develop improved mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to low copy numbers of biological molecules, such as mRNA and proteins that take part in biochemical reactions driving cellular processes. When trying to describe such biological processes, the traditional deterministic models are often inadequate, precisely because of these low copy numbers. This book presents stochastic models, which are necessary to account for small particle numbers and extrinsic noise sources. The complexity of these models depend upon whether the biochemical reactions are diffusion-limited or reaction-limited. In the former case, oneneeds to adopt the framework of stochastic reaction-diffusion models, while in the latter, one can describe the processes by adopting the framework of Markov jump processes and stochastic differential equations. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology will appeal to graduate students and researchers in the fields of applied mathematics, biophysics, and cellular biology. N� de r�f. du vendeur 9783319626260

Contacter le vendeur