Modeling Biological Systems: Principles and Applications

Haefner, James W.

ISBN 10: 0412042010 / ISBN 13: 9780412042010

Edité par Secaucus, New Jersey, U.S.A.: Kluwer Academic Pub, 1996

A propos de cet article

Hardback in very good plus condition.

N° de réf. du vendeur 161557

Détails bibliographiques

• Titre: Modeling Biological Systems: Principles and Applications
• Éditeur: Secaucus, New Jersey, U.S.A.: Kluwer Academic Pub
• Date de parution: 1996
• Langue: anglais
• ISBN à 10 chiffres: 0412042010
• ISBN à 13 chiffres: 9780412042010
• Reliure: Hardcover
• État de l'article: Very Good
• Catalogues du vendeur:
  • science

A propos de ce titre

Synopsis

This book is intended as a text for a first course on creating and analyzing computer simulation models of biological systems. The expected audience for this book are students wishing to use dynamic models to interpret real data mueh as they would use standard statistical techniques. It is meant to provide both the essential principles as well as the details and equa- tions applicable to a few particular systems and subdisciplines. Biological systems, however, encompass a vast, diverse array of topics and problems. This book discusses only a select number of these that I have found to be useful and interesting to biologists just beginning their appreciation of computer simulation. The examples chosen span classical mathematical models of well-studied systems to state-of-the-art topics such as cellular automata and artificial life. I have stressed the relationship between the models and the biology over mathematical analysis in order to give the reader a sense that mathematical models really are useful to biologists. In this light, I have sought examples that address fundamental and, I think, interesting biological questions. Almost all of the models are directly COIIl- pared to quantitative data to provide at least a partial demonstration that some biological models can accurately predict.