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Evolution and Control in Biological Systems

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Cover of 'Evolution and Control in Biological Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Stability Conditions for Two Predator One Prey Systems
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    Chapter 3 A Unified Approach to Persistence
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    Chapter 4 Reflections and Calculations on a Prey-Predator-Patch Problem
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    Chapter 5 A Homotopy Technique for a Linear Generalization of Volterra Models
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    Chapter 6 Cooperative Systems Theory and Global Stability of Diffusion Models
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    Chapter 7 The n-Person War of Attrition
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    Chapter 8 Mutation-Selection Models in Population Genetics and Evolutionary Game Theory
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    Chapter 9 Pair Formation in Age-Structured Populations
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    Chapter 10 The Markov Structure of Population Growth
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    Chapter 11 On A Generalized Mathematical Model of the Immune Response
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    Chapter 12 Recent Results in Mathematical Modeling of Infectious Diseases
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    Chapter 13 Applications of the Mathematical Model of Immunological Tolerance to Immunoglobulin Suppression and AIDS
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    Chapter 14 Distribution of Recirculating Lymphocytes: A Stochastic Model Foundation
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    Chapter 15 Recent Progress in 3-D Computer Simulation of Tumor Growth and Treatment
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    Chapter 16 Mathematical Simulation of the Immunomodulating Role of Energy Metabolism in Support of Synergism and Antagonism of the Compartments of an Immune System
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    Chapter 17 Interleukin 2 and Immune Response Control Mathematical Model
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Title
Evolution and Control in Biological Systems
Published by
Springer Netherlands, December 2012
DOI 10.1007/978-94-009-2358-4
ISBNs
978-9-40-107562-6, 978-9-40-092358-4
Editors

Kurzhanski, A. B., Sigmund, K.

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