Articles liés à A Course in Mathematical Biology: Quantitative Modeling...

A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational Methods - Couverture souple

De Vries, Gerda; Hillen, Thomas; Lewis, Mark; Schõnfisch, Birgitt; Muller, Johannes

 
9780898716122: A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational Methods
Couverture souple
ISBN 10 : 0898716128 ISBN 13 : 9780898716122
Editeur : Society for Industrial and Applied Mathematics, 2006

Synopsis

This is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology. Included is an integrated package of theoretical modeling and analysis tools, computational modeling techniques, and parameter estimation and model validation methods, with a focus on integrating analytical and computational tools in the modeling of biological processes. Divided into three parts, it covers basic analytical modeling techniques; introduces computational tools used in the modeling of biological problems; and includes various problems from epidemiology, ecology, and physiology. All chapters include realistic biological examples, including many exercises related to biological questions. In addition, 25 open-ended research projects are provided, suitable for students. An accompanying Web site contains solutions and a tutorial for the implementation of the computational modeling techniques. Calculations can be done in modern computing languages such as Maple, Mathematica, and MATLAB®.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology. Included is an integrated package of theoretical modeling and analysis tools, computational modeling techniques, and parameter estimation and model validation methods, with a focus on integrating analytical and computational tools in the modeling of biological processes. Divided into three parts, it covers basic analytical modeling techniques; introduces computational tools used in the modeling of biological problems; and includes various problems from epidemiology, ecology, and physiology. All chapters include realistic biological examples, including many exercises related to biological questions. In addition, 25 open-ended research projects are provided, suitable for students. An accompanying Web site contains solutions and a tutorial for the implementation of the computational modeling techniques. Calculations can be done in modern computing languages such as Maple, Mathematica, and MATLAB®.

Revue de presse

'There really is not a book that is directly comparable. Students will be able to study any area of biology with a mathematical perspective. The projects and the introduction to computation are a real bonus.' Fred Brauer, University of British Columbia

'One can warmly recommend this book to any undergraduate students in life science or mathematics who want to be introduced to the fascinating field of biomathematics.' J.-P. Gabriel, Département de Mathématiques de l'université, Fribourg

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Society for Industrial and Applied Mathematics
Date d'édition
2006
Langue
anglais
ISBN 10 
0898716128
ISBN 13 
9780898716122
Reliure
Broché
Nombre de pages
320
Coordonnées du fabricant
non disponible
Personne responsable
non disponible