Mathematical Ideas in Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Ideas in Biology write by J. Maynard Smith. This book was released on 1968-11. Mathematical Ideas in Biology available in PDF, EPUB and Kindle. "An introduction to some of the mathematical ideas which are useful to biologists, ... the ways in which biological problems can be expressed mathematically, and how the mathematical equations which arise in biological work can be solved ... This book is particularly concerned with non-statistical topics"--From publisher description.
Mathematical Ideas in Biology
Mathematical Ideas in Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Ideas in Biology write by J. Maynard Smith. This book was released on 1977. Mathematical Ideas in Biology available in PDF, EPUB and Kindle.
Mathematical Ideas in Biology
Mathematical Ideas in Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Ideas in Biology write by John Maynard Smith. This book was released on 1974. Mathematical Ideas in Biology available in PDF, EPUB and Kindle.
Topics in Mathematical Biology
Topics in Mathematical Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Topics in Mathematical Biology write by Karl Peter Hadeler. This book was released on 2017-12-20. Topics in Mathematical Biology available in PDF, EPUB and Kindle. This book analyzes the impact of quiescent phases on biological models. Quiescence arises, for example, when moving individuals stop moving, hunting predators take a rest, infected individuals are isolated, or cells enter the quiescent compartment of the cell cycle. In the first chapter of Topics in Mathematical Biology general principles about coupled and quiescent systems are derived, including results on shrinking periodic orbits and stabilization of oscillations via quiescence. In subsequent chapters classical biological models are presented in detail and challenged by the introduction of quiescence. These models include delay equations, demographic models, age structured models, Lotka-Volterra systems, replicator systems, genetic models, game theory, Nash equilibria, evolutionary stable strategies, ecological models, epidemiological models, random walks and reaction-diffusion models. In each case we find new and interesting results such as stability of fixed points and/or periodic orbits, excitability of steady states, epidemic outbreaks, survival of the fittest, and speeds of invading fronts. The textbook is intended for graduate students and researchers in mathematical biology who have a solid background in linear algebra, differential equations and dynamical systems. Readers can find gems of unexpected beauty within these pages, and those who knew K.P. (as he was often called) well will likely feel his presence and hear him speaking to them as they read.
Mathematical Models in Biology
Mathematical Models in Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Models in Biology write by Leah Edelstein-Keshet. This book was released on 1988-01-01. Mathematical Models in Biology available in PDF, EPUB and Kindle. Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. A favorite in the mathematical biology community, it shows how relatively simple mathematics can be applied to a variety of models to draw interesting conclusions. Connections are made between diverse biological examples linked by common mathematical themes. A variety of discrete and continuous ordinary and partial differential equation models are explored. Although great advances have taken place in many of the topics covered, the simple lessons contained in this book are still important and informative. Audience: the book does not assume too much background knowledge--essentially some calculus and high-school algebra. It was originally written with third- and fourth-year undergraduate mathematical-biology majors in mind; however, it was picked up by beginning graduate students as well as researchers in math (and some in biology) who wanted to learn about this field.
