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Titlebook: Mathematical Biology; James D. Murray Textbook 19891st edition Springer-Verlag Berlin Heidelberg 1989 biomathematics.epidemiology.mathemat

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發(fā)表于 2025-3-21 16:23:45 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mathematical Biology
編輯James D. Murray
視頻videohttp://file.papertrans.cn/627/626031/626031.mp4
叢書名稱Biomathematics
圖書封面Titlebook: Mathematical Biology;  James D. Murray Textbook 19891st edition Springer-Verlag Berlin Heidelberg 1989 biomathematics.epidemiology.mathemat
描述Mathematical biology - the use of mathematical ideas andmodels in thebiosciences - is a fast growing, very excitingand increasingly important inderdisciplinary field. Thistextbook is an account of some of the major techniques andmodels used and of some genuine practical applications drawnfrom current areas of research interest in, for example,population ecology, developmental biology, physiology,epidemiology and evolution. It provides the reader with athorough background, sufficient to start genuineinterdisciplinarycollaborative reserach with biomedicalscientists.
出版日期Textbook 19891st edition
關(guān)鍵詞biomathematics; epidemiology; mathematical biology; physiology
版次1
doihttps://doi.org/10.1007/978-3-662-08539-4
isbn_ebook978-3-662-08539-4Series ISSN 0067-8821 Series E-ISSN 2197-4160
issn_series 0067-8821
copyrightSpringer-Verlag Berlin Heidelberg 1989
The information of publication is updating

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Discrete Population Models for a Single Species,hatsoever between successive generations and so population growth is in discrete steps. For primitive organisms these can be quite short in which case a continuous (in time) model may be a reasonable approximation. However, depending on the species the step lengths can vary widely. A year is common.
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Continuous Models for Interacting Populations,akes for structurally complex communities. We consider here systems involving two or more species, concentrating particularly on 2-species systems. There are three main types of interaction. (i) If the growth rate of one population is decreased and the other increased the populations are in a . situ
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Biological Oscillators and Switches, way. Such systems concisely store the information and means of generating the mechanisms required for repetitive cellular reproduction, organisation, control and so on. To see how efficient they can be you need only compare the information storage efficiency per weight of the most advanced computer
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Belousov-Zhabotinskii Reaction, journal editor), a translation of which has now appeared in the book edited by Field and Burger (1985). Eventually Belousov (1959) published a brief note in the obscure proceedings of a Russian medical meeting. He found oscillations in the ratio of concentrations of the catalyst in the oxidation of
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Perturbed and Coupled Oscillators and Black Holes,an have on the subsequent oscillations. In his pioneering work on circadian rhythms in the 1960’s, A.T. Winfree asked this basic and deceptively simple question in a biological context in connection with his experimental work on the periodic emergence of the fruit fly, ., from their pupae. Since the
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Oscillator Generated Wave Phenomena and Central Pattern Generators,ologiocal pattern formation extensively. In Chapters 11, 12 and 20 we shall see how diffusion effects, for example, can also generate travelling waves, which have been used to model the spread of pest outbreaks, travelling waves of chemical concentration, colonization of space by a population, spati
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