Mathematical biology. II, Spatial models and biomedical applications

In the ten years since the first edition of this book appeared the field of mathematical biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modelling is now being applied in every major discipline in the biomedical sciences. Though the field ha...

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Bibliographic Details
Main Author: Murray, James Dickson, 1931-...., biomathématicien
Format: Livre papier
Language:Anglais
Published: New York ; Paris [etc.] : Springer C 2003.
Edition:3rd edition.
Series:Interdisciplinary applied mathematics 18
Subjects:
Note: Autre tirage : 2004 ("corrected 2nd printing")
Contient des exercices
Autres localisations: Voir dans le Sudoc
Variante du titre:Spatial models and biomedical applications
Edition sous un autre format:• Mathematical biology, II, Spatial models and biomedical applications, J. D. Murray, 3e edition, 2003, New York, Springer, 1 vol. (XXV-811 p.), Interdisciplinary applied mathematics, 978-0-38722-438-1
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250 |a 3rd edition. 
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500 |a Contient des exercices 
504 |a Bibliographie p. [761]-790. Index 
520 |a In the ten years since the first edition of this book appeared the field of mathematical biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modelling is now being applied in every major discipline in the biomedical sciences. Though the field has become increasingly large and specialized, this book remains important as a text that introduces some of the exciting problems that arise in biology and gives some indication of the wide spectrum of questions that modelling can address. Due to this tremendous development in recent years, for this new edition Murray is covering certain items in depth, giving new applications such as modelling marital interaction, growth of cancer tumours, temperature sex determination, wolf territoriality, wolf-deer survival etc. In other areas he discusses basic modelling concepts and provides further references as needed. He also provides even closer links between models and experimental data throughout the text. The book continues to present a broad view of the field of theoretical and mathematical biology and gives us an excellent background from which to begin geniune interdisciplinary research in the biomedical sciences 
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