Quasi-Monte Carlo methods for integration of functions with dominating mixed smoothness in arbitrary dimension

Details Quasi-Monte Carlo methods for integration of functions with dominating mixed smoothness in arbitrary dimension Quasi-Monte Carlo methods for integration of functions with dominating mixed smoothness in arbitrary dimension

2012-01-11

arxiv.org/abs/1201.2311v2

Mathematics

Numerical Analysis

arXiv admin note: text overlap with arXiv:1109.4548

Scientific paper

In a celebrated construction, Chen and Skriganov gave explicit examples of point sets achieving the best possible $L_2$-norm of the discrepancy function. We consider the discrepancy function of the Chen-Skriganov point sets in Besov spaces with dominating mixed smoothness and show that they also achieve the best possible rate in this setting. The proof uses a $b$-adic generalization of the Haar system and corresponding characterizations of the Besov space norm. Results for further function spaces and integration errors are concluded.

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