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ϵ-Shell error analysis for “Walk On Spheres” algorithms

Author

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  • Mascagni, Michael
  • Hwang, Chi-Ok

Abstract

The “Walk On Spheres” (WOS) algorithm and its relatives have long been used to solve a wide variety of boundary value problems [Ann. Math. Stat. 27 (1956) 569; J. Heat Transfer 89 (1967) 121; J. Chem. Phys. 100 (1994) 3821; J. Appl. Phys. 71 (1992) 2727]. All WOS algorithms that require the construction of random walks that terminate, employ an ϵ-shell to ensure their termination in a finite number of steps. To remove the error related to this ϵ-shell, Green’s function first-passage (GFFP) algorithms have been proposed [J. Chem. Phys. 106 (1997) 3721] and used in several applications [Phys. Fluids A 12 (2000) 1699; Monte Carlo Meth. Appl. 7 (2001) 213; The simulation–tabulation method for classical diffusion Monte Carlo, J. Comput. Phys. submitted]. One way to think of the GFFP algorithm is as an ϵ=0 extension of WOS. Thus, an important open question in the use of GFFP is to understand the tradeoff made in the efficiency of GFFP versus the ϵ-dependent error in WOS. In this paper, we present empirical evidence and analytic analysis of the ϵ-shell error in some simple boundary value problems for the Laplace and Poisson equations and show that the error associated with the ϵ-shell is O(ϵ), for small ϵ. This fact supports the conclusion that GFFP is preferable to WOS in cases where both are applicable.

Suggested Citation

  • Mascagni, Michael & Hwang, Chi-Ok, 2003. "ϵ-Shell error analysis for “Walk On Spheres” algorithms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(2), pages 93-104.
    • Handle: RePEc:eee:matcom:v:63:y:2003:i:2:p:93-104
    DOI: 10.1016/S0378-4754(03)00038-7
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    Citations

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    Cited by:

    1. Hwang, Chi-Ok & Mascagni, Michael & Won, Taeyoung, 2010. "Monte Carlo methods for computing the capacitance of the unit cube," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(6), pages 1089-1095.
    2. Hwang, Chi-Ok & Mascagni, Michael, 2003. "Analysis and comparison of Green’s function first-passage algorithms with “Walk on Spheres” algorithms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(6), pages 605-613.
    3. Zhang, Bolong & Yu, Wenjian & Mascagni, Michael, 2019. "Revisiting Kac’s method: A Monte Carlo algorithm for solving the Telegrapher’s equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 156(C), pages 178-193.

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