A textbook on mathematical modelling techniques with powerful applications to biology, combining theoretical exposition with exercises and examples.
Although great advances have taken place in many of the topics covered, the simple lessons contained in this book are still important and informative.
This is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology.
Recent models have demonstrated that the range of a species can nevertheless end abruptly in such situations if there is a tradeoff between individual performance in different habitats (GarcĂa Ramos and Kirkpatrick 1997; Holt 2003; ...
Linear and non-linear models of populations, molecular evolution, phylogenetic tree construction, genetics, and infectious diseases are presented with minimal prerequisites.
With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium ...
Mathematical Models of Social Evolution equips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends.
Suitable for readers studying and working at the interface of mathematics and the life sciences, this book shows how evolutionary game theory is used in the modeling of these diverse biological phenomena.
The biological content of the book is self-contained and includes many basic biology topics such as the genetic code, Mendelian genetics, population dynamics, predator-prey relationships, epidemiology, and immunology.
The contents of this book is made accessible for readers without strong Mathematical background.
This volume, A Mathematical Primer of Molecular Phylogenetics, offers a unique perspective on a number of phylogenetic issues that have not been covered in detail in previous publications.