We analyze the complexity of the Walk on Spheres algorithm for simulating Brownian Motion in a domain Ω ⊂Rd. The algorithm, which was first proposed in the 1950s, produces samples from the hitting probability distribution of the Brownian Motion process on ∂Ω within an error of ε. The algorithm is used as a building block for solving a variety of differential equations, including the Dirichlet Problem.
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机译:我们分析了在Ω⊂Rd域中模拟布朗运动的Walk on Spheres算法的复杂性。该算法最早于1950年代提出,它从布朗运动过程在ε误差内的Ω上的击中概率分布中产生样本。该算法用作求解包括Dirichlet问题在内的各种微分方程的基础。
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