ENGLISH

Biological Growth and Spread: Mathematical Theories and Applications, Proceedings of a Conference Held at Heidelberg, July 16 – 21, 1979

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
1980
ISBN
978-3-540-10257-1, 978-3-642-61850-5
DOI
10.1007/978-3-642-61850-5
Language
english
Format
PDF
Filesize
16 MB (16567107 bytes)
Series
Lecture Notes in Biomathematics 38
Edition
1
Pages
511\520
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00

Description

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.

Similar books