Numerical Methods for Stochastic Partial Differential Equations with White Noise
This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation. The book begins with some motivational and background material in the introductory chapters and is divided into three parts. Part I covers numerical stoc...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Σειρά: | Applied Mathematical Sciences,
196 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Preface
- Prologue
- Brownian Motion and Stochastic Calculus
- Numerical Methods for Stochastic Differential Equations
- Part I Stochastic Ordinary Differential Equations
- Numerical Schemes for SDEs with Time Delay Using the Wong-Zakai Approximation
- Balanced Numerical Schemes for SDEs with non-Lipschitz Coefficients
- Part II Temporal White Noise
- Wiener Chaos Methods for Linear Stochastic Advection-Diffusion-Reaction Equations
- Stochastic Collocation Methods for Differential Equations with White Noise
- Comparison Between Wiener Chaos Methods and Stochastic Collocation Methods
- Application of Collocation Method to Stochastic Conservation Laws
- Part III Spatial White Noise
- Semilinear Elliptic Equations with Additive Noise
- Multiplicative White Noise: The Wick-Malliavin Approximation
- Epilogue
- Appendices
- A. Basics of Probability
- B. Semi-analytical Methods for SPDEs
- C. Gauss Quadrature
- D. Some Useful Inequalities and Lemmas
- E. Computation of Convergence Rate.