Description
Mathematical Models for Society and Biology, 2e, 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, 2e, 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 40% more content – 5 new chapters in addition to revisions to existing chapters- 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- Features expanded appendices with an extensive list of references, solutions to selected exercises in the book, and further discussion of various mathematical methods introduced in the book
Table of Contents
PREFACE1 Crabs and Criminals2 It Isn't Fair3. While the City Burns4. Clean Streets5. A Bayesian Take on Colorectal Screening, Baseball, Fund Managers, and a Murder6. What Are the Odds of That?7 It's Normal Not to Be Normal8. Boom and Bust9. Viral Outbreaks and Blood Clots10. Red Tides and What Ever Happened to the Red Squirrel?11. Spatial Patterns: The Cat's Tail and Spreading Slime12. The Coil of LifeAfterthoughts on ModelingAppendix A: The Normal DensityAppendix B: Poisson EventsAppendix C: Nonlinear Equations and OscillationsAppendix D: Conditional Expectation
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