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Optimal error bound of restricted Monte Carlo integration on anisotropic Sobolev classes
作者姓名:GAO Wenhu  YE Peixin  WANG Hui
作者单位:1. College of Mathematics and System Sciences, Xinjiang University,Urumqi 830046,China; 2. School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071,China; 3. Department of Mathematics, Ily Teachers’ College, Yining 835000, China; 4. College of Science, Hehai University, Nanjing 210098, China
摘    要:We study the restricted Monte Carlo integration error for anisotropic Sobolev classes. Results prove that with O(log2 n) random bits we have the optimal order for the n-th minimal Monte Carlo integration error with arbitrary random numbers.

关 键 词:Monte  Carlo  integration    random  bits    anisotropic  Sobolev  classes.

Optimal error bound of restricted Monte Carlo integration on anisotropic Sobolev classes
GAO Wenhu,YE Peixin,WANG Hui.Optimal error bound of restricted Monte Carlo integration on anisotropic Sobolev classes[J].Progress in Natural Science,2006,16(6):588-593.
Authors:GAO Wenhua  YE Peixin  WANG Hui
Abstract:We study the restricted Monte Carlo integration error for anisotropic Sobolev classes. Results prove that with O(log2 n) random bits we have the optimal order for the n-th minimal Monte Carlo integration error with arbitrary random numbers.
Keywords:Monte Carlo integration  random bits  anisotropic Sobolev classes
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