伴随着这个，又有了使用的数据分析新方法，例如，马尔科夫链，蒙特卡洛模拟这些大型计算机密集型算法。
Accompanying this have been new approaches to data analysis using, for example, Markov Chain Monte Carlo simulations that are hugely computer intensive.
给出了详细的计算方法，并用蒙特卡洛试验证实了该方法优于通常的源数估计算法。
The detailed solution to the problem of number estimation was explained, and Monter-Carlo trials demonstrated that the performance of this method was better than the usual algorithms.
最后通过蒙特卡洛法验证了简化算法的正确性。
These simplified algorithms are verified by Monte Carlo method.
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