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Markov Processes and Differential Equations

Overview of attention for book
Cover of 'Markov Processes and Differential Equations'

Table of Contents

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    Book Overview
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    Chapter 1 Stochastic Processes Defined by ODE’s
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    Chapter 2 Small Parameter in Higher Derivatives: Levinson’s Case
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    Chapter 3 The Large Deviation Case
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    Chapter 4 Averaging Principle for Stochastic Processes and for Partial Differential Equations
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    Chapter 5 Averaging Principle: Continuation
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    Chapter 6 Remarks and Generalizations
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    Chapter 7 Diffusion Processes and PDE’s in Narrow Branching Tubes
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    Chapter 8 Wave Fronts in Reaction-Diffusion Equations
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    Chapter 9 Wave Fronts in Slowly Changing Media
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    Chapter 10 Large Scale Approximation for Reaction-Diffusion Equations
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    Chapter 11 Homogenization in PDE’s and in Stochastic Processes
Attention for Chapter 11: Homogenization in PDE’s and in Stochastic Processes
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