Optimization of random number generators: efficient search for high-quality LCGs

被引：4

作者：

Entacher, K ^{[1
]}

Schell, T

Uhl, A

机构：

[1] Salzburg Univ Appl Sci & Technol, Sch Telecommun Engn, Salzburg, Austria

[2] Salzburg Univ, RIST, A-5020 Salzburg, Austria

[3] Salzburg Univ, Dept Comp Sci, A-5020 Salzburg, Austria

来源：

PROBABILISTIC ENGINEERING MECHANICS | 2001年 / 16卷 / 04期

基金：

奥地利科学基金会;

关键词：

LCG; spectral test; random number generation; LCG parameter search;

D O I：

10.1016/S0266-8920(01)00021-2

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

In this work we will discuss how to optimize multipliers for prime-modulus linear congruential pseudo-random number generators with respect to the spectral test. The optimization efficiency has shown itself to be strongly dependent on the encoding strategy for the multipliers within the random search process. The optimal encoding technique will be demonstrated to be a representation in terms of powers of a primitive root. A sample distributed lar.-e-scale parameter search for subsequence stable LCGs will be conducted using the developed concepts. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：289 / 293

页数：5

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