Stochastic Methods for Boundary Value Problems : Numerics for High-dimensional PDEs and Applications.
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Author / Creator: | Sabelfeld, Karl K. |
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Imprint: | Berlin/Boston, GERMANY : De Gruyter, 2016. ©2016 |
Description: | 1 online resource (208) |
Language: | English |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11408344 |
Table of Contents:
- 1 Introduction ; 2 Random walk algorithms for solving integral equations ; 2.1 Conventional Monte Carlo scheme ; 2.2 Biased estimators ; 2.3 Linear-fractional transformations and their relations to iterative processes.
- 2.4 Asymptotically unbiased estimators based on singular approximations 2.5 Integral equation of the first kind ; 3 Random walk-on-boundary algorithms for the Laplace equation ; 3.1 Newton potentials and boundary integral equations of the electrostatics.
- 3.2 The interior Dirichlet problem and isotropic random walk-on-boundary process 3.3 Solution of the Neumann problem ; 3.4 Random estimators for the exterior Dirichlet problem ; 3.5 Third BVP and alternative methods of solving the Dirichlet problem ; 3.6 Inhomogeneous problems.
- 3.7 Continuity BVP 3.7.1 Walk on boundary for the continuity problem ; 3.8 Calculation of the solution derivatives near the boundary ; 3.9 Normal derivative of a double-layer potential ; 4 Walk-on-boundary algorithms for the heat equation.
- 4.1 Heat potentials and Volterra boundary integral equations 4.2 Nonstationary walk-on-boundary process ; 4.3 The Dirichlet problem ; 4.4 The Neumann problem ; 4.5 Third BVP ; 4.6 Unbiasedness and variance of the walk-on-boundary algorithms.