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Wollkind, D. J., Dichone, B. J. (2017)

This text demonstrates the process of comprehensive applied mathematical modeling through the introduction of various case studies. The case studies are arranged in increasing …

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Deutsch, A., Dormann, S. (2017)

This text explores the use of cellular automata in modeling pattern formation in biological systems. It describes several mathematical modeling approaches utilizing cellular …

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Scherer, P. O., Fischer, S. F. (2017)

This book gives an introduction to molecular biophysics. It starts from material properties at equilibrium related to polymers, dielectrics and membranes. Electronic spectra are …

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Scott, L. R., Fernández, A. (2017)

This book explores quantitative aspects of protein biophysics and attempts to delineate certain rules of molecular behavior that make atomic scale objects behave in a digital way. …

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Garfinkel, A., Shevtsov, J., Guo, Y. (2017)

This book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in …

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Kiss, I. Z., Miller, J. C., Simon, P. L. (2017)

This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains …

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Börgers, C. (2017)

This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate students of …

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de Barros, L. C., Bassanezi, R. C., Lodwick, W. A. (2017)

This book provides an essential introduction to the field of dynamical models. Starting from classical theories such as set theory and probability, it allows readers to draw near …

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Pardoux, () É. (2016)

This expository book presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The …

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Lewis, M. A., Petrovskii, S. V., Potts, J. R. (2016)

This book investigates the mathematical analysis of biological invasions. Unlike purely qualitative treatments of ecology, it draws on mathematical theory and methods, equipping …

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Chou, C. S., Friedman, A. (2016)

This book is based on a one semester course that the authors have been teaching for several years, and includes two sets of case studies. The first includes chemostat models, …

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Leimkuhler, B., Matthews, C. (2015)

This book describes the mathematical underpinnings of algorithms used for molecular dynamics simulation, including both deterministic and stochastic numerical methods. Molecular …

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Kimmel, M., Axelrod, D. E. (2015)

This book provides a theoretical background of branching processes and discusses their biological applications. Branching processes are a well-developed and powerful set of tools …

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Martcheva, M. (2015)

The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model building, fitting to data, local and …

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Perthame, B. (2015)

This book presents several fundamental questions in mathematical biology such as Turing instability, pattern formation, reaction-diffusion systems, invasion waves and …

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Anderson, D. F., Kurtz, T. G. (2015)

This book focuses on counting processes and continuous-time Markov chains motivated by examples and applications drawn from chemical networks in systems biology. The book should …

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Bressloff, P. C. (2014)

This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. A wide range of biological topics are covered including normal …

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Komarova, N. L., Wodarz, D. (2014)

Countless medical researchers over the past century have been occupied by the search for a cure of cancer. So far, they have developed and implemented a wide range of treatment …

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Milton, J., Ohira, T. (2014)

This introductory textbook is based on the premise that the foundation of good science is good data. The educational challenge addressed by this introductory textbook is how to …

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Iannelli, M., Pugliese, A. (2014)

This book is an introduction to mathematical biology for students with no experience in biology, but who have some mathematical background. The work is focused on population …

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