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arXiv 1812.04489math.NAcs.NA
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数值积分、偏差、分散和通用离散化之间的联系

Connections between numerical integration, discrepancy, dispersion, and universal discretization

University of South Carolina(南卡罗来纳大学);Steklov Institute of Mathematics(斯捷克洛夫数学研究所);Lomonosov Moscow State University(莫斯科国立罗蒙诺索夫大学)

Vladimir Temlyakov

AI总结:

本文探讨了数值积分、偏差、分散和通用离散化之间的联系,总结了最近的研究成果,并指出固定体积偏差在证明分散上界方面的有效性,以及低分散点集在三角多项式均匀范数离散化中的作用。

摘要:

本文的主要目标是提供对最近研究成果的简要综述,这些成果将不同研究领域的结果联系在一起。众所周知,具有混合光滑度的函数的数值积分与偏差理论密切相关。我们详细讨论了这种联系,并提供了整体视角。最近建立的新概念'固定体积偏差'在证明分散上界方面非常有用。同时,最近认识到具有小分散的点集对于三角多项式均匀范数的通用离散化非常有效。

英文摘要:

The main goal of this paper is to provide a brief survey of recent results which connect together results from different areas of research. It is well known that numerical integration of functions with mixed smoothness is closely related to the discrepancy theory. We discuss this connection in detail and provide a general view of this connection. It was established recently that the new concept of {\it fixed volume discrepancy} is very useful in proving the upper bounds for the dispersion. Also, it was understood recently that point sets with small dispersion are very good for the universal discretization of the uniform norm of trigonometric polynomials.

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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