The mean square discrepancy of randomized nets

Author:

Hickernell Fred J.1

Affiliation:

1. Hong Kong Baptist Univ., Kowloon Tong, Hong Kong

Abstract

One popular family of low dicrepancy sets is the ( t, m, s )-nets. Recently a randomization of these nets that preserves their net property has been introduced. In this article a formula for the mean square L 2 -discrepancy of ( 0, m, s )-nets in base b is derived. This formula has a computational complexity of only O(s log( N ) + s 2 ) for large N or s, where N = b m is the number of points. Moreover, the root mean square L 2 -discrepancy of ( 0, m, s )-nets is show to be O( N -1 [log(N)] (s-1)/2 ) as N tends to infinity, the same asymptotic order as the known lower bound for the L 2 -discrepancy of an arbitrary set.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,Modelling and Simulation

Reference21 articles.

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4. Quadrature Error Bounds with Applications to Lattice Rules

5. HICKERNELL F.J. A generalized discrepancy and quadrature error bound. Math. Camp. to appear. 10.1090/S0025-5718-98-00894-1 HICKERNELL F.J. A generalized discrepancy and quadrature error bound. Math. Camp. to appear. 10.1090/S0025-5718-98-00894-1

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