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The information-based complexity of approximation problem by adaptive Monte Carlo methods 被引量:2
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作者 FANG GenSun DUAN LiQin 《Science China Mathematics》 SCIE 2008年第9期1679-1689,共11页
In this paper, we study the complexity of information of approximation problem on the multivariate Sobolev space with bounded mixed derivative MWpr,α(Td), 1 < p < ∞, in the norm of Lq(Td), 1 < q < ∞, by... In this paper, we study the complexity of information of approximation problem on the multivariate Sobolev space with bounded mixed derivative MWpr,α(Td), 1 < p < ∞, in the norm of Lq(Td), 1 < q < ∞, by adaptive Monte Carlo methods. Applying the discretization technique and some properties of pseudo-s-scale, we determine the exact asymptotic orders of this problem. 展开更多
关键词 ADAPTIVE MONTE Carlo method sobolev space with bounded mixed derivative ASYMPTOTIC order
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