2006
DOI: 10.1137/050622201
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An Exit Probability Approach to Solving High Dimensional Dirichlet Problems

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Cited by 13 publications
(21 citation statements)
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“…From [11] and [12], one can deduce that, when using the coupling algorithm, the numerical integration error along the Brownian path, E D ∆t , is of order one with respect to ∆t. The advantage of this algorithm over the other existing ones described in ( [11], [14], [5]) is that it can handle the simulation of a Brownian motion near an irregular boundary, a boundary with corners while the other existing algorithms impose some smoothness conditions on the boundary. It can also be extended to the case of the reflected and the drifted Brownian motion.…”
Section: Order Of the Approximationmentioning
confidence: 99%
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“…From [11] and [12], one can deduce that, when using the coupling algorithm, the numerical integration error along the Brownian path, E D ∆t , is of order one with respect to ∆t. The advantage of this algorithm over the other existing ones described in ( [11], [14], [5]) is that it can handle the simulation of a Brownian motion near an irregular boundary, a boundary with corners while the other existing algorithms impose some smoothness conditions on the boundary. It can also be extended to the case of the reflected and the drifted Brownian motion.…”
Section: Order Of the Approximationmentioning
confidence: 99%
“…These results show that the relative error is independent from the Euler time step and it is relatively small (containing one source of error). In the next numerical examples we compare the computational cost of our algorithm with the one proposed in [5] for the same Poisson problems. We recall that in [5] a numerical algorithm of order one is proposed to approximate the exit time and the exit position of the Brownian motion based on the Brownian bridge assumption.…”
Section: Numerical Experimentsmentioning
confidence: 99%
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“…We take a similar approach in this paper. To the best of our knowledge, the only multidimensional result for the Brownian bridge appears in Buchmann and Petersen (2006). However, they only examine the independent case with one stationary boundary.…”
Section: Introductionmentioning
confidence: 99%