A Generalized Discrepancy and Quadrature Error Bound
Author:
Fred J. Hickernell
Journal:
Math. Comp. 67 (1998), 299322
MSC (1991):
Primary 65D30, 65D32
MathSciNet review:
1433265
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Abstract 
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Abstract: An error bound for multidimensional quadrature is derived that includes the KoksmaHlawka inequality as a special case. This error bound takes the form of a product of two terms. One term, which depends only on the integrand, is defined as a generalized variation. The other term, which depends only on the quadrature rule, is defined as a generalized discrepancy. The generalized discrepancy is a figure of merit for quadrature rules and includes as special cases the star discrepancy and that arises in the study of lattice rules.
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 [MC94]
 W. J. Morokoff and R. E. Caflisch, Quasirandom sequences and their discrepancies, SIAM J. Sci. Comput. 15 (1994), 12511279. MR 95e:65009
 [Nie92]
 H. Niederreiter, Random number generation and quasiMonte Carlo methods, SIAM, Philadelphia, 1992. MR 93h:65008
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 A. B. Owen, Orthogonal arrays for computer experiments, integration and visualization, Statist. Sinica 2 (1992), 439452. MR 93h:62135
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 A. B. Owen, Equidistributed Latin hypercube samples, Monte Carlo and QuasiMonte Carlo Methods in Scientific Computing (H. Niederreiter and P. J.S. Shiue, eds.), Lecture Notes in Statistics, vol. 106, SpringerVerlag, New York, 1995, pp. 299317.
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Additional Information
Fred J. Hickernell
Affiliation:
Department of Mathematics, Hong Kong Baptist University, Kowloon Tong, Hong Kong
Email:
fred@hkbu.edu.hk
DOI:
http://dx.doi.org/10.1090/S0025571898008941
PII:
S 00255718(98)008941
Keywords:
Figure of merit,
multidimensional integration,
numbertheoretic nets and sequences,
quasirandom sets,
variation
Received by editor(s):
April 5, 1996
Received by editor(s) in revised form:
September 4, 1996
Additional Notes:
This research was supported by a Hong Kong RGC grant 9495/38 and HKBU FRG grant 9596/II01
Article copyright:
© Copyright 1998
American Mathematical Society
