An Introduction to Mathematical Population Dynamics

Along the trail of Volterra and Lotka

Nonfiction, Science & Nature, Mathematics, Applied, Science, Biological Sciences, Ecology
Cover of the book An Introduction to Mathematical Population Dynamics by Mimmo Iannelli, Andrea Pugliese, Springer International Publishing
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Author: Mimmo Iannelli, Andrea Pugliese ISBN: 9783319030265
Publisher: Springer International Publishing Publication: January 23, 2015
Imprint: Springer Language: English
Author: Mimmo Iannelli, Andrea Pugliese
ISBN: 9783319030265
Publisher: Springer International Publishing
Publication: January 23, 2015
Imprint: Springer
Language: English

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 dynamics and ecology, following a tradition that goes back to Lotka and Volterra, and includes a part devoted to the spread of infectious diseases, a field where mathematical modeling is extremely popular. These themes are used as the area where to understand different types of mathematical modeling and the possible meaning of qualitative agreement of modeling with data. The book also includes a collections of problems designed to approach more advanced questions. This material has been used in the courses at the University of Trento, directed at students in their fourth year of studies in Mathematics. It can also be used as a reference as it provides up-to-date developments in several areas.

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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 dynamics and ecology, following a tradition that goes back to Lotka and Volterra, and includes a part devoted to the spread of infectious diseases, a field where mathematical modeling is extremely popular. These themes are used as the area where to understand different types of mathematical modeling and the possible meaning of qualitative agreement of modeling with data. The book also includes a collections of problems designed to approach more advanced questions. This material has been used in the courses at the University of Trento, directed at students in their fourth year of studies in Mathematics. It can also be used as a reference as it provides up-to-date developments in several areas.

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