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Record Nr. |
UNINA9910467851603321 |
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Autore |
Sabelfeld K. K (Karl Karlovich) |
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Titolo |
Stochastic methods for boundary value problems : numerics for high-dimensional PDEs and applications / / Karl K. Sabelfeld, Nikolai A. Simonov |
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Pubbl/distr/stampa |
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Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2016 |
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©2016 |
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ISBN |
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3-11-047916-8 |
3-11-047945-1 |
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Descrizione fisica |
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1 online resource (x, 198 pages) : colour illustrations |
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Disciplina |
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Soggetti |
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Boundary value problems - Numerical solutions |
Stochastic analysis |
Random walks (Mathematics) |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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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 |
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