数値シミュレーション Multidimensional Uniformity of Pseudorandom and Quasirandom Sequences

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概要

• 論文の詳細を見る

• It has been said that quasirandom sequences have a better uniform distribution in multi-dimensional spaces than pseudorandom sequences, and are therefore superior for numerical integration of multidimensional functions. In this paper, however, it is numerically demonstrated that there is a certain critical number of dimensions k_c between 20 and 40 dimensions, and that in higher dimensions than k_c, pseudorandom and Richtmyer sequences have lower discrepancy, and hence better uniformity, than quasirandom sequences, yielding substantially smaller errors to numerical integration._

• 一般社団法人情報処理学会の論文
• 2000-12-15

著者

• TSUDA Takao

  Faculty of Information Sciences, Hiroshima City University

• Tsuda Takao

  Faculty Of Engineering Osaka University

• Tsuda Takao

  Faculty Of Information Sciences Hiroshima City University

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• 数値シミュレーション Multidimensional Uniformity of Pseudorandom and Quasirandom Sequences

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