Mathematical Models for Society and Biology, second edition is a useful resource for researchers, graduate students, and post-docs in the applied mathematics and life science fields. Mathematical modeling is one of the major subfields of mathematical biology. A mathematical model may be used to help explain a system, to study the effects of different components, and to make predictions about behavior. Mathematical Models for Society and Biology, second edition draws on current issues to engagingly relate how to use mathematics to gain insight into problems in biology and contemporary society. For this new edition, author Edward Beltrami uses mathematical models that are simple, transparent, and verifiable. Also new to this edition is an introduction to mathematical notions that every quantitative scientist in the biological and social sciences should know. Additionally, each chapter now includes a detailed discussion on how to formulate a reasonable model to gain insight into the specific question that has been introduced. Offers a fresh and appealing approach to modeling by using anecdotes and real-life topics. Provides an introduction to useful modeling tools by covering topics such as the conundrums of chance and coincidences, Bayesian inference, spatial Poisson processes, and a comparison of normal and non-normal random processes. Features expanded appendices section with an extensive list of references, solutions to selected exercises in the book, and further discussion of various mathematical methods introduced in the book. Accessible for quick self study as well as a resource for courses in molecular biology, biochemistry, embryology and cell biology, medicine, ecology and evolution, bio-mathematics, and applied math in general.
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August 20, 2013
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