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Mathematical Population Genetics And Evolution Of Bacterial Cooperation, Muller Johannes, Kuttler Christina, Hosel Volker


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Автор: Muller Johannes, Kuttler Christina, Hosel Volker
Название:  Mathematical Population Genetics And Evolution Of Bacterial Cooperation
ISBN: 9789811205491
Издательство: World Scientific Publishing
Классификация:

ISBN-10: 9811205493
Обложка/Формат: Hardback
Страницы: 580
Вес: 0.93 кг.
Дата издания: 04.04.2020
Серия: Mathematics
Язык: English
Размер: 159 x 235 x 20
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Mathematical modelling, SCIENCE / Life Sciences / Bacteriology,SCIENCE / Life Sciences / Evolution,SCIENCE / System Theory
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Поставляется из: Англии
Описание:

Social life of bacteria is in the focus of recent research. Bacteria are simple enough to be accessible by science, but still complex enough to show cooperation, division of labor, bet-hedging, cross-talk and synchronized activities, and a rich variety of social traits. A central question of evolutionary theory is the explanation why this social life did develop, and why these systems are evolutionary stable. This book introduces the reader into the theory of evolution, covering classical models and as well as recent developments. The theory developed is used to represent the up-to-date understanding of social bacteria.

This book will be useful for students and lecturers interested in mathematical evolutionary theory, as well as for researchers as a reference.




Mathematical models in population biology and epidemiology

Автор: Brauer Fred
Название: Mathematical models in population biology and epidemiology
ISBN: 1489993983 ISBN-13(EAN): 9781489993984
Издательство: Springer
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Цена: 6358.00 р. 9083.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: This book balances theory and application in the use of mathemathical models for addressing questions in epidemiology and population studies. This latest revised edition makes extensive use of both examples and exercise problems throughout the text.

Trends in Biomathematics: Mathematical Modeling for Health, Harvesting, and Population Dynamics

Автор: Rubem P. Mondaini
Название: Trends in Biomathematics: Mathematical Modeling for Health, Harvesting, and Population Dynamics
ISBN: 3030234320 ISBN-13(EAN): 9783030234324
Издательство: Springer
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Цена: 18167.00 р.
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Описание:

This volume offers a collection of carefully selected, peer-reviewed papers presented at the BIOMAT 2018 International Symposium, which was held at the University Hassan II, Morocco, from October 29th to November 2nd, 2018. The topics covered include applications of mathematical modeling in hepatitis B, HIV and Chikungunya infections; tumor cell dynamics; inflammatory processes; chemotherapeutic drug effects; and population dynamics. Also discussing the application of techniques like the generalized stochastic Milevsky-Promislov model, numerical simulations and convergence of discrete and continuous models, it is an invaluable resource on interdisciplinary research in mathematical biology for students, researchers, and professionals.
Held every year since 2001, the BIOMAT International Symposium gathers together, in a single conference, researchers from Mathematics, Physics, Biology, and affine fields to promote the interdisciplinary exchange of results, ideas and techniques, promoting truly international cooperation for problem discussion. The 2018 edition of BIOMAT International Symposium received contributions by authors from seventeen countries: Algeria, Brazil, Cameroon, Canada, Chad, Colombia, France, Germany, Hungary, Italy, Mali, Morocco, Nigeria, Poland, Portugal, Russia, and Senegal. Selected papers presented at the 2017 edition of this Symposium were also published by Springer, in the volume “Trends in Biomathematics: Modeling, Optimization and Computational Problems” (978-3-319-91091-8).
Population Dynamics: Algebraic And Probabilistic Approach

Автор: Rozikov Utkir A
Название: Population Dynamics: Algebraic And Probabilistic Approach
ISBN: 9811211221 ISBN-13(EAN): 9789811211225
Издательство: World Scientific Publishing
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Цена: 21384.00 р.
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Описание:

A population is a summation of all the organisms of the same group or species, which live in a particular geographical area, and have the capability of interbreeding. The main mathematical problem for a given population is to carefully examine the evolution (time dependent dynamics) of the population. The mathematical methods used in the study of this problem are based on probability theory, stochastic processes, dynamical systems, nonlinear differential and difference equations, and (non-)associative algebras.

A state of a population is a distribution of probabilities of the different types of organisms in every generation. Type partition is called differentiation (for example, sex differentiation which defines a bisexual population). This book systematically describes the recently developed theory of (bisexual) population, and mainly contains results obtained since 2010.

The book presents algebraic and probabilistic approaches in the theory of population dynamics. It also includes several dynamical systems of biological models such as dynamics generated by Markov processes of cubic stochastic matrices; dynamics of sex-linked population; dynamical systems generated by a gonosomal evolution operator; dynamical system and an evolution algebra of mosquito population; and ocean ecosystems.

The main aim of this book is to facilitate the reader's in-depth understanding by giving a systematic review of the theory of population dynamics which has wide applications in biology, mathematics, medicine, and physics.

An Introduction to Mathematical Population Dynamics

Автор: Mimmo Iannelli; Andrea Pugliese
Название: An Introduction to Mathematical Population Dynamics
ISBN: 3319030256 ISBN-13(EAN): 9783319030258
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This book is an introduction to mathematical biology for students with no experience in biology, but who have some mathematical background.

Mathematical models of social evolution

Автор: Mcelreath, Richard
Название: Mathematical models of social evolution
ISBN: 0226558274 ISBN-13(EAN): 9780226558271
Издательство: Wiley
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Цена: 4752.00 р.
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Описание: Mathematical models have become central to the study of social evolution, both in biology and the social sciences. A primer on behavioral modeling that includes both mathematics and evolutionary theory, this book aims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field.

Self-organization of Matter: A dialectical approach on evolution of matter in the microcosm and macrocosmos

Автор: Christian Joo?
Название: Self-organization of Matter: A dialectical approach on evolution of matter in the microcosm and macrocosmos
ISBN: 3110644193 ISBN-13(EAN): 9783110644197
Издательство: Walter de Gruyter
Цена: 7429.00 р.
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Описание:

Self-organization of matter is observed in every context and on all scales, from the nanoscale of quantum fields and subatomic particles to the macroscale of galaxy superclusters. This book analyzes the wide range of patterns of organization present in nature, highlighting their similarities rather than their differences. This unconventional approach results in an illuminating read which should be part of any Physics student's background.

Nonlinear Evolution Equations

Автор: Boling Guo, Fei Chen, Jing Shao, Ting Luo
Название: Nonlinear Evolution Equations
ISBN: 3110624672 ISBN-13(EAN): 9783110624670
Издательство: Walter de Gruyter
Цена: 26024.00 р.
Наличие на складе: Нет в наличии.

Описание: Nonlinear Evolution Equation presents state-of-the-art theories and results on nonlinear evolution equation, showing related mathematical methods and applications. The basic concepts and research methods of infinite dimensional dynamical systems are discussed in detail. The unique combination of mathematical rigor and physical background makes this work an essential reference for researchers and students in applied mathematics and physics.

Mathematical Modeling of Biological Systems, Volume II Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods

Автор: Deutsch, A.; Bravo de la Parra, R.; de Boer, R.J.; Diekmann, O.; Jagers, P.; Kisdi, E.; Kretzschmar, M.; Lansky, P.; Metz, H. (Eds.)
Название: Mathematical Modeling of Biological Systems, Volume II Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods
ISBN: 0817645551 ISBN-13(EAN): 9780817645557
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Presents a broad range of topics in the field of mathematical modeling in the biological sciences. This work examines the central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations.

Mathematical Population Genetics 1

Автор: Warren J. Ewens
Название: Mathematical Population Genetics 1
ISBN: 1441918981 ISBN-13(EAN): 9781441918987
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This is the first of a planned two-volume work discussing the mathematical aspects of population genetics with an emphasis on evolutionary theory.

Mathematical Population Dynamics and Epidemiology in Temporal and Spatio-Temporal Domains

Автор: Harkaran Singh, Joydip Dhar
Название: Mathematical Population Dynamics and Epidemiology in Temporal and Spatio-Temporal Domains
ISBN: 1771886714 ISBN-13(EAN): 9781771886710
Издательство: Taylor&Francis
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Цена: 18987.00 р.
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Описание: This new volume focuses on the study of population dynamics with special emphasis on the migration of populations in a heterogeneous patchy habitat, the human and animal population, and the spreading of epidemics, an important area of research in mathematical biology dealing with the survival of different species.

Mathematical Topics in Population Genetics

Автор: Ken-ichi Kojima
Название: Mathematical Topics in Population Genetics
ISBN: 3642462464 ISBN-13(EAN): 9783642462467
Издательство: Springer
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Цена: 6986.00 р.
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Описание: A basic method of analyzing particulate gene systems is the proba- bilistic and statistical analyses. We must not forget the experimental works of Johanson (1909) and Nilsson-Ehle (1909) which supported Mendelian gene theory.


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