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Modeling Evolution of Heterogeneous Populations
Theory and Applications
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- 354 pages
- English
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About This Book
Modeling Evolution of Heterogeneous Populations: Theory and Applications describes, develops and provides applications of a method that allows incorporating population heterogeneity into systems of ordinary and discrete differential equations without significantly increasing system dimensionality. The method additionally allows making use of results of bifurcation analysis performed on simplified homogeneous systems, thereby building on the existing body of tools and knowledge and expanding applicability and predictive power of many mathematical models.
- Introduces Hidden Keystone Variable (HKV) method, which allows modeling evolution of heterogenous populations, while reducing multi-dimensional selection systems to low-dimensional systems of differential equations
- Demonstrates that replicator dynamics is governed by the principle of maximal relative entropy that can be derived from the dynamics of selection systems instead of being postulated
- Discusses mechanisms behind models of both Darwinian and non-Darwinian selection
- Provides examples of applications to various fields, including cancer growth, global demography, population extinction, tragedy of the commons and resource sustainability, among others
- Helps inform differences in underlying mechanisms of population growth from experimental observations, taking one from experiment to theory and back
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Yes, you can access Modeling Evolution of Heterogeneous Populations by Irina Kareva,Georgy Karev in PDF and/or ePUB format, as well as other popular books in Matematica & Matematica applicata. We have over one million books available in our catalogue for you to explore.
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MatematicaSubtopic
Matematica applicataTable of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Chapter 1: Using mathematical modeling to ask meaningful biological questions
- Chapter 2: Inhomogeneous models of Malthusian type and the HKV method
- Chapter 3: Some applications of inhomogeneous population models of Malthusian type
- Chapter 4: Selection systems and the Reduction theorem
- Chapter 5: Some applications of the Reduction theorem and the HKV method
- Chapter 6: Nonlinear replicator dynamics
- Chapter 7: Inhomogeneous logistic equations and models for Darwinian and non-Darwinian evolution
- Chapter 8: Replicator dynamics and the principle of minimal information gain
- Chapter 9: Subexponential replicator dynamics and the principle of minimal Tsallis information gain
- Chapter 10: Modeling extinction of inhomogeneous populations
- Chapter 11: From experiment to theory: What can we learn from growth curves?
- Chapter 12: Traveling through phase-parameter portrait
- Chapter 13: Evolutionary games: Natural selection of strategies
- Chapter 14: Natural selection between two games with applications to game theoretical models of cancer
- Chapter 15: Discrete-time selection systems
- Chapter 16: Conclusions
- Chapter 17. Math Appendix: Moment-generating functions for various initial distributions
- Bibliogrpahy
- Index