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Analysis of the numerical stochastic approximation methods for nonstationary linear diffusion problem
Volume 7, Issue 2 (1996), pp. 155–166
Raimondas Čiegis   Olga Štikonienė  

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https://doi.org/10.3233/INF-1996-7202
Pub. online: 1 January 1996      Type: Research Article     

Published
1 January 1996

Abstract

Weak approximation methods for initial value problem for the parabolic equation are considered. We propose some simple tests to investigate the quality of RNG used in Monte-Carlo simulations. Numerical examples are given to illustrate the application of stochastic approximation methods.

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Keywords
parabolic differential equation stochastic differential equation weak approximation pseudorandom number generators

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INFORMATICA

  • Online ISSN: 1822-8844
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