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Lower bounds for wrap-around L_2-discrepancy and constructions of symmetrical uniform designs

机译:环绕L_2偏差的下界和对称均匀设计的构造

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The wrap-around L_2-discrepancy has been used in quasi-Monte Carlo methods, especially in experimental designs. In this paper, explicit lower bounds of the wrap-around L_2-discrepancy of U-type designs are obtained. Sufficient conditions for U-type designs to achieve their lower bounds are given. Taking advantage of these conditions, we consider the perfect resolvable balanced incomplete block designs, and use them to construct uniform designs under the wrap-around L_2-discrepancy directly. We also propose an efficient balance-pursuit heuristic, by which we find many new uniform designs, especially with high levels. It is seen that the new algorithm is more powerful than existing threshold accepting ones in the literature.
机译:环绕的L_2偏差已用于准蒙特卡罗方法中,尤其是在实验设计中。在本文中,获得了U型设计的环绕L_2偏差的显式下界。给出了U型设计达到其下限的充分条件。利用这些条件,我们考虑了理想的可解析平衡不完整块设计,并使用它们直接在环绕L_2差异下构造均匀设计。我们还提出了一种有效的平衡追求启发法,通过它可以发现许多新的制服设计,尤其是高层次的制服。可以看出,新算法比现有的阈值接受算法更强大。

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