Article ID Journal Published Year Pages File Type
4646004 Applied Numerical Mathematics 2008 12 Pages PDF
Abstract

Halton's low discrepancy sequence is still very popular in spite of its shortcomings with respect to the correlation between points of two-dimensional projections for large dimensions. As a remedy, several types of scrambling and/or randomization for this sequence have been proposed. We examine empirically some of these by calculating their L∞- and L2-discrepancies (D∗ resp. T∗), and by performing integration tests.Most investigated sequence types give practically equivalent results for D∗, T∗, and the integration error, with two exceptions: random shift sequences are in some cases less efficient, and the shuffled Halton sequence is no more efficient than a pseudo-random one. However, the correlation mentioned above can only be broken with digit-scrambling methods, even though the average correlation of many randomized sequences tends to zero.

Related Topics
Physical Sciences and Engineering Mathematics Computational Mathematics