我正在使用MKLIntel进行随机数字计算。 我使用Quasi随机 al。 此外,在我看来,产生的数量并非随意。 我的理解是,Quesi随机藻类将提供样本点,最大限度地实现空间占领。 因此,它们不需要完全出乎意料和随机,而只是要妥善地覆盖空间。
我谨随意使用这一编号,不要按预期方式下令这样做,以便在使用这些随机点之前,我向他们致敬。
我没有适当使用MKL图书馆? 还是正常的,因为正如我提到的那样,要点是涵盖整个空间,而不是随意使用。
如果是某些MKL或准随机基因。 那里的用户欢迎提供意见。
问题。
在理论上,任何统一分配顺序的随机变动应导致随机抽样。 例如,请1,2,3, ......, n, 并随意加以侵扰, 并随机进行统一取样。
随机下调算法的质量对于由此产生的样本的质量至关重要。
与此同时,我想知道,为什么你们完全需要来自科索沃解放军的准多数民族国家。 对我来说,这只是一个高技能。 如果你需要良好的假体,那么利用来自MKL的其他RNG,例如MT19937或MT2203或SFMT19937,可能具有意义,因为这些技术是快速的,质量很高的。 请解释为什么你们需要一个准等级顺序作为通勤的基础?
Regards, Sergey
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