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Titlebook: An Introduction to the Mathematics of Biology: with Computer Algebra Models; Edward K. Yeargers,Ronald W. Shonkwiler,James V. H Book 1996

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期刊全称An Introduction to the Mathematics of Biology: with Computer Algebra Models
影响因子2023Edward K. Yeargers,Ronald W. Shonkwiler,James V. H
视频videohttp://file.papertrans.cn/156/155572/155572.mp4
发行地址Includes supplementary material:
图书封面Titlebook: An Introduction to the Mathematics of Biology: with Computer Algebra Models;  Edward K. Yeargers,Ronald W. Shonkwiler,James V. H Book 1996
影响因子Biology is a source of fascination for most scientists, whether their training is in the life sciences or not. In particular, there is a special satisfaction in discovering an understanding of biology in the context of another science like mathematics. Fortunately there are plenty of interesting (and fun) problems in biology, and virtually all scientific disciplines have become the richer for it. For example, two major journals, Mathematical Biosciences and Journal of Mathematical Biology, have tripled in size since their inceptions 20-25 years ago. The various sciences have a great deal to give to one another, but there are still too many fences separating them. In writing this book we have adopted the philosophy that mathematical biology is not merely the intrusion of one science into another, but has a unity of its own, in which both the biology and the math­ ematics should be equal and complete, and should flow smoothly into and out of one another. We have taught mathematical biology with this philosophy in mind and have seen profound changes in the outlooks of our science and engineering students: The attitude of "Oh no, another pendulum on a spring problem!," or "Yet one more
Pindex Book 1996
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,Qualifikation gesamter Aktivitäten,l necessitate discussions of viral replication and immunology. By the end of this chapter the student should have a firm understanding of the way that HIV functions and be able to apply that understanding to a mathematical treatment of HIV infection and epidemiology.
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A Biomathematical Approach to HIV and AIDS,l necessitate discussions of viral replication and immunology. By the end of this chapter the student should have a firm understanding of the way that HIV functions and be able to apply that understanding to a mathematical treatment of HIV infection and epidemiology.
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https://doi.org/10.1007/978-3-322-93207-5of predictions from these abstractions under real or hypothesized conditions. A model must capture the essence of an event or process but at the same time not be so complicated that it is intractable or dilutes the event’s most important features. In this regard, the field of differential equations
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