Stochastic Methods for Boundary Value Problems : : Numerics for High-dimensional PDEs and Applications / / Karl K. Sabelfeld, Nikolai A. Simonov.
This monograph is devoted to random walk based stochastic algorithms for solving high-dimensional boundary value problems of mathematical physics and chemistry. It includes Monte Carlo methods where the random walks live not only on the boundary, but also inside the domain. A variety of examples fro...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter DG Plus eBook-Package 2016 |
---|---|
VerfasserIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2016] ©2016 |
Year of Publication: | 2016 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (X, 198 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Other title: | Frontmatter -- Preface -- Contents -- 1. Introduction -- 2. Random walk algorithms for solving integral equations -- 3. Random walk-on-boundary algorithms for the Laplace equation -- 4. Walk-on-boundary algorithms for the heat equation -- 5. Spatial problems of elasticity -- 6. Variants of the random walk on boundary for solving stationary potential problems -- 7. Splitting and survival probabilities in random walk methods and applications -- 8. A random WOS-based KMC method for electron–hole recombinations -- 9. Monte Carlo methods for computing macromolecules properties and solving related problems -- Bibliography |
---|---|
Summary: | This monograph is devoted to random walk based stochastic algorithms for solving high-dimensional boundary value problems of mathematical physics and chemistry. It includes Monte Carlo methods where the random walks live not only on the boundary, but also inside the domain. A variety of examples from capacitance calculations to electron dynamics in semiconductors are discussed to illustrate the viability of the approach.The book is written for mathematicians who work in the field of partial differential and integral equations, physicists and engineers dealing with computational methods and applied probability, for students and postgraduates studying mathematical physics and numerical mathematics. Contents:IntroductionRandom walk algorithms for solving integral equationsRandom walk-on-boundary algorithms for the Laplace equationWalk-on-boundary algorithms for the heat equationSpatial problems of elasticityVariants of the random walk on boundary for solving stationary potential problemsSplitting and survival probabilities in random walk methods and applicationsA random WOS-based KMC method for electron–hole recombinationsMonte Carlo methods for computing macromolecules properties and solving related problemsBibliography |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9783110479454 9783110701005 9783110485103 9783110485288 |
DOI: | 10.1515/9783110479454 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | Karl K. Sabelfeld, Nikolai A. Simonov. |