Mathematical Models in Population Biology, Volume I - Essential Concepts in Biomathematics

List of contents

Introduction: How to make sense out of data in Epidemiology, Ecology and Neurodynamics, or life as autocatalytic process. One Dimensional Systems in Ecology and Epidemiology. Higher Dimensional Systems. Time-scale Seperation and Centre-Manifold Analysis. Bifurcations into Deterministic Chaos. From Deterministic Chaos to Stochastic Processes. Stochastic Differential Equations. State discrete stochastic processes. Spatially Extended Stochastic Processes. Explicit multy-strain models, chaos and noise, case study dengue fever. Introduction to Neurodynamics I. Neurodynamics II and Chaotic Fluctuations. Neurodynamics III and Modelling the activity of neurons.

Summary

The aim of this book is to build a fundamental understanding in Mathematical Biology, Epidemiology and Ecology. Written for biologists, mathematicians, applied statisticians and physicists, Mathematical Models in Population Biology: Essential Concepts in Biomathematics provides a coverage of different topics in mathematical biology from vector-borne diseases, fractional calculus, and stochastic differential equations to neuro-dynamics, illustrating some important models used for real data.

Product details

• Authors: Maira Aguiar, Maira (University of Lisbon Aguiar, Luis Guilherme Alves Mateus, Peyman Ghaffari, Nico Stollenwerk
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 31.03.2019, delayed
• EAN: 9781138088511
• ISBN: 978-1-138-08851-1
• No. of pages: 350
• Series: Chapman & Hall/CRC Mathematical and Computational Biology; Chapman & Hall/CRC Mathematical and Computational Biology
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics