1) Halton Low Discrepancy Sequences
Halton低差异度序列
3) low-discrepancy sequences
低差异序列
1.
In this study,we presented some Characteristic of low-discrepancy sequences,we consider numerical pricing analysis of options by uses low discrepancy Sequences,Such as Halton,Fanre,Sobol sequences.
在本文中我们展示了低差异序列的一些特点,利用拟蒙特卡罗模拟方法中的Halton、Faure、Sobol序列来对期权进行数值定价分析,数值实验结果表明:在低维数的条件下Hal- ton、Faure、Sobol序列比(伪)蒙特卡罗模拟方法好,在高维数的条件下,Halton序列比较敏感,Faure、Sobol序列比其它方法表现好。
5) difference sequence
差异序列
1.
To solve the problem that all the algorithms of the series of Chi2 algorithm only adopt maximal difference as standard of interval merging, a difference sequence method is proposed which is having better performance manifested by experiments than that of the series of Chi2 algorithm.
在此基础上,考虑仅以最大差异为区间合并标准存在不合理性,提出一种基于差异序列为标准的区间合并方法,该方法可以大大提高Chi2系列算法的离散化效果。
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