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About this book
Mathematics has always benefited from its involvement with developing sciences. Each successive interaction revitalises and enhances the field. Biomedical science is clearly the premier science of the foreseeable future. For the continuing health of their subject mathematicians must become involved with biology. With the example of how mathematics has benefited from and influenced physics, it is clear that if mathematicians do not become involved in the biosciences they will simply not be a part of what are likely to be the most important and exciting scientific discoveries of all time. Mathematical biology is a fast growing, well recognised, albeit not clearly defined, subject and is, to my mind, the most exciting modern application of mathematics. The increasing use of mathematics in biology is inevitable as biol ogy becomes more quantitative. The complexity of the biological sciences makes interdisciplinary involvement essential. For the mathematician, biology opens up new and exciting branches while for the biologist mathematical modelling offers another research tool commmensurate with a new powerful laboratory technique but only if used appropriately and its limitations recognised. However, the use of esoteric mathematics arrogantly applied to biological problems by mathemati cians who know little about the real biology, together with unsubstantiated claims as to how important such theories are, does little to promote the interdisciplinary involvement which is so essential. Mathematical biology research, to be useful and interesting, must be relevant biologically.
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Keywords
Table of contents (20 chapters)
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Front Matter
Authors and Affiliations
Bibliographic Information
Book Title: Mathematical Biology
Authors: James D. Murray
Series Title: Biomathematics
DOI: https://doi.org/10.1007/978-3-662-08542-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1993
eBook ISBN: 978-3-662-08542-4Published: 29 June 2013
Series ISSN: 0067-8821
Series E-ISSN: 2197-4160
Edition Number: 2
Number of Pages: XIV, 770
Number of Illustrations: 283 b/w illustrations
Topics: Mathematical and Computational Biology, Biological and Medical Physics, Biophysics, Statistics for Life Sciences, Medicine, Health Sciences