Biological Growth and Spread

Biological Growth and Spread
Author :
Publisher : Springer Science & Business Media
Total Pages : 521
Release :
ISBN-10 : 9783642618505
ISBN-13 : 3642618502
Rating : 4/5 (502 Downloads)

Book Synopsis Biological Growth and Spread by : W. Jäger

Download or read book Biological Growth and Spread written by W. Jäger and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: These Proceedings have been assembled from papers presented at the Conference on Models of Biological Growth and Spread, held at the German Cancer Research Centre Heidelberg and at the Institute of Applied Mathematics of the University of Heidelberg, July 16-21, 1979. The main theme of the conference was the mathematical representation of biolog ical populations with an underlying spatial structure. An important feature of such populations is that they and/or their individual com ponents may interact with each other. Such interactions may be due to external disturbances, internal regulatory factors or a combination of both. Many biological phenomena and processes including embryogenesis, cell growth, chemotaxis, cell adhesion, carcinogenesis, and the spread of an epidemic or of an advantageous gene can be studied in this con text. Thus, problems of particular importance in medicine (human and veterinary), agriculture, ecology, etc. may be taken into consideration and a deeper insight gained by utilizing (more) realistic mathematical models. Since the intrinsic biological mechanisms may differ considerably from each other, a great variety of mathematical approaches, theories and techniques is required. The aims of the conference were (i) To provide an overview of the most important biological aspects. (ii) To survey and analyse possible stochastic and deterministic approaches. (iii) To encourage new research by bringing together mathematicians interested in problems of a biological nature and scientists actively engaged in developing mathematical models in biology.


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