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Stochastic Methods for Boundary Value Problems: Numerics for High-dimensional PDEs and Applications

Stochastic Methods for Boundary Value Problems: Numerics for High-dimensional PDEs and Applications

Stochastic Methods for Boundary Value Problems: Numerics for High-dimensional
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Stochastic Methods for Boundary Value Problems: Numerics for High-dimensional PDEs and Applications Hardback - 2016

by Sabelfeld, Karl K

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De Gruyter, 2016-09-26. 1. hardcover. New. 6.69x0.50x9.61. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Stochastic Methods for Boundary Value Problems: Numerics for High-dimensional PDEs and Applications
  • Author Sabelfeld, Karl K
  • Binding Hardback
  • Edition 1
  • Condition New
  • Pages 208
  • Volumes 1
  • Language ENG
  • Publisher De Gruyter
  • Publication date 2016-09-26
  • Illustrated Yes
  • Features Bibliography, Illustrated
  • Bookseller's Inventory # DADAX3110479060
  • ISBN 9783110479065 / 3110479060
  • Weight 1.18 lbs (0.54 kg)
  • Dimensions 9.61 x 6.69 x 0.5 in (24.41 x 16.99 x 1.27 cm)
  • Size 6.69x0.50x9.61
  • Category Mathematics
  • Library of Congress subjects Random walks (Mathematics), Stochastic analysis
  • Library of Congress Catalogue Number 2016042706
  • Dewey Decimal Code 519.23
  • Quantity available 1

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Reader reviews for Stochastic Methods for Boundary Value Problems: Numerics for High-dimensional PDEs and Applications

From the publisher

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:
Introduction
Random walk algorithms for solving integral equations
Random walk-on-boundary algorithms for the Laplace equation
Walk-on-boundary algorithms for the heat equation
Spatial problems of elasticity
Variants of the random walk on boundary for solving stationary potential problems
Splitting and survival probabilities in random walk methods and applications
A random WOS-based KMC method for electron-hole recombinations
Monte Carlo methods for computing macromolecules properties and solving related problems
Bibliography

About the author

Karl K. Sabelfeld, Novosibirsk State University, Russia;
Nikolai A. Simonov, Novosibirsk State University, Russia.

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