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Multiscale Methods : Averaging and Homogenization

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Cover of 'Multiscale Methods : Averaging and Homogenization'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Analysis
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    Chapter 3 Probability Theory and Stochastic Processes
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    Chapter 4 Ordinary Differential Equations
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    Chapter 5 Markov Chains
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    Chapter 6 Stochastic Differential Equations
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    Chapter 7 Partial Differential Equations
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    Chapter 8 Invariant Manifolds for ODEs
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    Chapter 9 Averaging for Markov Chains
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    Chapter 10 Averaging for ODEs and SDEs
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    Chapter 11 Homogenization for ODEs and SDEs
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    Chapter 12 Homogenization for Elliptic PDEs
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    Chapter 13 Homogenization for Parabolic PDEs
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    Chapter 14 Averaging for Linear Transport and Parabolic PDEs
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    Chapter 15 Invariant Manifolds for ODEs: The Convergence Theorem
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    Chapter 16 Averaging for Markov Chains: The Convergence Theorem
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    Chapter 17 Averaging for SDEs: The Convergence Theorem
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    Chapter 18 Homogenization for SDEs: The Convergence Theorem
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    Chapter 19 Homogenization for Elliptic PDEs: The Convergence Theorem
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    Chapter 20 Homogenization for Elliptic PDEs: The Convergence Theorem
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    Chapter 21 Averaging for Linear Transport and Parabolic PDEs: The Convergence Theorem
Attention for Chapter 6: Stochastic Differential Equations
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