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arXiv math/0509101math.NAcs.NA
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高维对称测度少点立方体公式

Cubature Formulas for Symmetric Measures in Higher Dimensions with Few Points

Aicke Hinrichs, Erich Novak

AI总结:

针对张量积形式的任意对称权函数的高维积分,提出一种构造高多项式精确度的立方体公式的方法,在固定次数 l=5 或 l=7 且维数大时,节点数仅略大于 Möller 下界,远小于已知构造;同时证明对任意奇数次 l=2k+1,最小点数几乎与权函数无关,对球面积分也成立。

摘要:

我们研究具有张量积形式的任意对称权函数的 d 维积分的立方体公式。我们提出一种构造,该构造具有高多项式精确度:对于固定次数 l=5 或 l=7 且维数大时,节点数仅略大于 Möller 下界,远小于已知构造。我们还证明,对于任意奇数次 l=2k+1,最小点数几乎与权函数无关。这对于(欧几里得)球面上的积分也成立。

英文摘要:

We study cubature formulas for d-dimensional integrals with an arbitrary symmetric weight function of tensor product form. We present a construction that yields a high polynomial exactness: for fixed degree l=5 or l=7 and large dimension, the number of knots is only slightly larger than the lower bound of Möller and much smaller compared to the known constructions. We also show, for any odd degree l=2k+1, that the minimal number of points is almost independent of the weight function. This is also true for the integration over the (Euclidean) sphere.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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