2 edition of **Mathematical theories of populations** found in the catalog.

Mathematical theories of populations

Frank C Hoppensteadt

- 240 Want to read
- 27 Currently reading

Published
**1975**
by Society for Industrial and Applied Mathematics in Philadelphia
.

Written in English

- Epidemics.,
- Population -- Mathematical models.,
- Population genetics.

**Edition Notes**

Bibliography: p. 71-72.

Series | Regional conference series in applied mathematics -- 20 |

Classifications | |
---|---|

LC Classifications | HB851 .H66 |

The Physical Object | |

Pagination | vii, 72 p. : |

Number of Pages | 72 |

ID Numbers | |

Open Library | OL14794256M |

Given the complexity of speciation,mathematical theory is subordinate to verbal theory and generalizations about heless,mathematical theory can provide a useful classification of verbal theories;can help determine the biological plausibility of verbal theories;can determine whether alternativeFile Size: KB. This book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in Available Formats: Hardcover eBook Softcover. Starting from classical theories such as set theory and probability, it allows readers to draw near .

Population genetics is a subfield of genetics that deals with genetic differences within and between populations, and is a part of evolutionary s in this branch of biology examine such phenomena as adaptation, speciation, and population structure.. Population genetics was a vital ingredient in the emergence of the modern evolutionary synthesis. This book is an introduction to mathematical biology for students with no experience in biology, but who have some mathematical background. The work is focused on population dynamics and ecology, following a tradition that goes back to Lotka and Volterra, and includes a part devoted to the spread of infectious diseases, a field where mathematical modeling is extremely popular.

When we wrote this book it was, admittedly, flrst of all for the sake of our own enjoyment and enlightenment. We will, however, add our sincerely meant (but rather traditional) hope that it will prove interesting to graduate students, to colleagues and to anyone else, who will bother to read it. Development of MI Theory (back to outline) After years of research, Howard Gardner proposed a new theory and definition of intelligence in his book entitled Frames of Mind: The Theory of Multiple Intelligences.

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Mathematical theories of populations have appeared both implicitly and explicitly in many important studies of populations, human populations as well as populations of animals, cells and viruses. They provide a systematic way for studying a population's underlying structure.

A basic model in population age structure is studied and then applied, extended and modified, to several population. Mathematical theories of populations have appeared both implicitly and explicitly in many important studies of populations, human populations as well as populations of animals, cells and viruses.

They provide a systematic way for studying a population's underlying : Frank Hoppensteadt. Mathematical Theories of Populations book by Hazen (). Mathematical theories of populations have appeared both implicitly and explicitly in many important studies of populations, human populations as well as populations of animals, cells and viruses.

They provide a systematic way for studying a population's underlying structure. Mathematical Theories Of Populations Demographics Genetics And Epidemics Epidemics Models And Data Using R An Epidemics Of Pneumonic Plague Towards Detecting Influenza Epidemics By Analyzing Twitter Messages Detecting Influenza Epidemics Using Search Engine Mathematical theories of populations book Data Accurate Estimation Of Influenza Epidemics Using Google Search Data Via Argo Dynamics Of Numbers In Populations.

ISBN: OCLC Number: Description: ix, 72 pages: illustrations ; 25 cm: Contents: 1. The equations of population dynamics --Age dependent population growth --Age independent version --Solution for u(a,t) --Example: the genesis model --Analysis of the birth rate: stable age distribution --Example: age independent case --Analysis of the birth rate --A model of.

mathematical theories and computational methods in order to derive mathematical predictions from the model. The ﬁnal step is to check that the mathematical predic-tions provide a “reasonable” answer to the biological question. One can then further explore related biological questions by using the mathematical model.

The presentFile Size: 1MB. Get this from a library. Mathematical models and theories on oscillations in populations: the early phase. [Barundeb Banerjee]. Chaos theory is a branch of mathematics focusing on the study of chaos—states of dynamical systems whose apparently-random states of disorder and irregularities are often governed by deterministic laws that are highly sensitive to initial conditions.

Chaos theory is an interdisciplinary theory stating that, within the apparent randomness of chaotic complex systems, there are underlying.

Home» MAA Publications» MAA Reviews» Mathematical Theories of Populations:Demographics, Genetics, Mathematical Theories of Populations:Demographics, Genetics, and Epidemics. Price: ISBN: Category: Monograph. BLL Rating: BLL* The Basic Library List Committee recommends this book for acquisition by.

This book is very accessible and an excellent entry point into the role, and history, of mathematics and theory in ecology up to the s.

Levin, Simon A., Bryan Grenfell, Alan Hastings, and Alan S. Perelson. Mathematical and computational challenges in population biology and ecosystems science. Science – Population genetics occupies a central role in a number of important biological and social undertakings.

It is fundamental to our understanding of evolutionary processes, of plant and animal breeding programs, and of various diseases of particular importance to mankind.

This is the first of a planned two-volume work discussing the mathematical aspects of population genetics, with an 5/5(3). A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

This is the first of a planned two-volume work discussing the mathematical aspects of population genetics with an emphasis on evolutionary theory. This volume draws heavily from the author’s classic, but it has been revised and expanded to include recent topics which follow naturally from the treatment in the earlier edition, such as the.

Mathematical models describing the evolution of age-structured populations have received increasing attention in recent years, both for the biological interest and for the mathematical one.

In fact Cited by: 7. Irina Kareva, Georgy Karev, in Modeling Evolution of Heterogenous Populations, Example Haldane principle for selection systems.

Mathematical theory of selection has a long history, and R. Fisher, S. Wright, and J. Haldane were its founding fathers. The Haldane optimal principle (Haldane, ) can be considered to be one of the first general assertions about selection systems.

This book will be of most use to postgraduate researchers. the book under review admirably sets the scene by including a discussion of the broad theories of population dynamics." (Tony Crilly, The Mathematical Gazette, Vol. 89 (), ) From the PublisherPrice: $ Mathematical statements that have been proven based on previously established theorems and axioms.

They use deductive reasoning and show that a statement necessarily follows from a series of statements or hypotheses - the proof. They are not the same as theories. About Cambridge Studies in Mathematical Biology. provides a comprehensive review of the basic mathematical theory of the demography and genetics of age-structured populations.

The mathematical level of the book is such that it will be accessible to anyone with a knowledge of basic calculus and linear algebra. and develops mathematical. the emphasis is mine], fits so excellently the objects of physical reality?".

This sense of utter bewilderment is not new. Some of the philosophers in ancient Greece, Pythagoras and Plato in particular, were already in awe of the apparent ability of mathematics to shape and guide the universe, while existing, as it seemed, above the powers of humans to alter, direct, or influence it.

The /5(). Abstract. We report on a small slice of a large-scale, three-year, EU-funded research project, WebLabs, which focused on the iterative design of two systems: a programming-based environment for students to build models of their mathematical and scientific knowledge, and a set of web-based collaboration tools to share both their ideas and their programmed models.This is also the case in Japan.

About 80 young japanese scientists and graduate students participated this time. The sessions were divided into 4 ;, categories: 1) Mathematical Ecology and Population Biology, 2) Mathematical Theory of Developmental Biology and Morphogenesis, 3) Theoretical Neurosciences, and 4) Cell Kinetics and Other Topics.

The first half of the book introduces the reader to the mathematical tool kit needed to formulate models and to solve or characterize their behavior. Most of the second half focuses on specific applications of modeling, with chapters on population growth (ecology), dynamics of disease in populations (epidemiology) and within the individual Author: Lance Davidson.