The Inverse of the Star-Discrepancy Problem and the Generation of Pseudo-Random Numbers
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  • 作者:Josef Dick (15)
    Friedrich Pillichshammer (16)
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2014
  • 出版时间:2014
  • 年:2014
  • 卷:1
  • 期:1
  • 页码:173-184
  • 全文大小:238 KB
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    11. Dick, J., Pillichshammer, F.: Digital Nets and Sequences - Discrepancy Theory and Quasi-Monte Carlo Integration. Cambridge University Press, Cambridge (2010) CrossRef
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    14. Doerr, B., Gnewuch, M.: Construction of low-discrepancy point sets of small size by bracketing covers and dependent randomized rounding. In: Keller, A., Heinrich, S., Niederreiter, H. (eds.) Monte Carlo and Quasi-Monte Carlo Methods 2006, pp. 299-12. Springer, Berlin (2007)
    15. Doerr, B., Gnewuch, M., Srivastav, A.: Bounds and constructions for the star-discrepancy via \(\delta \) -covers. J. Complex. 21, 691-09 (2005) CrossRef
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  • 作者单位:Josef Dick (15)
    Friedrich Pillichshammer (16)

    15. School of Mathematics and Statistics, The University of New South Wales, Sydney, NSW, Australia
    16. Department of Financial Mathematics, Johannes Kepler University, Linz, Austria
  • ISSN:1611-3349
文摘
The inverse of the star-discrepancy problem asks for point sets \(P_{N,s}\) of size \(N\) in the \(s\) -dimensional unit cube \([0,1]^s\) whose star-discrepancy \(D_N^*(P_{N,s})\) satisfies $$D_N^*(P_{N,s}) \le C \sqrt{s/N},$$ where \(C> 0\) is a constant independent of \(N\) and \(s\) . The first existence results in this direction were shown by Heinrich, Novak, Wasilkowski, and Wo?niakowski in 2001, and a number of improvements have been shown since then. Until now only proofs that such point sets exist are known. Since such point sets would be useful in applications, the big open problem is to find explicit constructions of suitable point sets \(P_{N,s}\) . We review the current state of the art on this problem and point out some connections to pseudo-random number generators.

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