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Vito Volterra Symposium on Mathematical Models in Biology

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Table of Contents

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    Book Overview
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    Chapter 1 Models of Natural Selection
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    Chapter 2 Stochastic Theory of Population Genetics and Evolution
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    Chapter 3 Natural Selection and Continuous Variation
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    Chapter 4 Some Models for the Evolution of Adaptive Traits
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    Chapter 5 Evolutionary Game Theory
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    Chapter 6 Variability and Permanence in Molecular Genetics
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    Chapter 7 Evolution in Human Populations: Data and Models
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    Chapter 8 Models of Density- and Frequency- Dependent Selection for the Exploitation of Resources. II. Coevolution of Species in Competition
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    Chapter 9 Intraspecific Competition and Evolution
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    Chapter 10 Ecological Implications of Natural Selection
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    Chapter 11 Areas of Overlap of Population Genetics with Related Disciplines
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    Chapter 12 Completeness and Craft Standards in Ecological Theory
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    Chapter 13 A Theoretical Approach to the Dynamics of Single Populations
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    Chapter 14 Stochastic Equations in Neurobiology and Population Biology
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    Chapter 15 Models for Vector-Borne Parasitic Diseases
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    Chapter 16 The Dynamics and Control of Direct Life Cycle Helminth Parasites
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    Chapter 17 Epidemiologic Models of Bacterial Diseases
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    Chapter 18 Strategic Planning Models for Rubella Vaccination Programmes
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    Chapter 19 The Cybernetics of Biological Macromolecules
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    Chapter 20 A Pattern Formation Mechanism and Its Application to Mammalian Coat Markings
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    Chapter 21 Cell Growth as an Autocatalytic Relaxation Process
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    Chapter 22 Vito Volterra and Contemporary Mathematical Biology
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Title
Vito Volterra Symposium on Mathematical Models in Biology
Published by
Springer Berlin Heidelberg, March 2013
DOI 10.1007/978-3-642-93161-1
ISBNs
978-3-54-010279-3, 978-3-64-293161-1
Editors

Barigozzi, Claudio

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 33%
Researcher 1 17%
Unknown 3 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Unknown 4 67%