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

Lewis, Mark, Müller, Johannes, Vries, Gerda de, Hillen, Thomas, Schoenfisch, Birgitt

ISBN 10: 0898716128 / ISBN 13: 9780898716122

Edité par Society for Industrial and Applied Mathematics, 2006

Used book that is in clean, average condition without any missing pages. N° de réf. du vendeur 16379765-6

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®.

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®.

Détails bibliographiques

Titre : A Course in Mathematical Biology : ...
Éditeur : Society for Industrial and Applied Mathematics
Date d'édition : 2006
Reliure : Couverture souple
Etat : Good