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.
采用遗传算法和蒙特卡洛随机模拟相结合对上述随机优化模型进行求解。
The Genetic Algorithms combined with Monte Carlo Algorithms (MC) is introduced for solving the problems.
蒙特卡洛仿真结果表明了IMM具有明显的综合多模型的优点，IMMF -LS的跟踪精度明显高于IMM算法。
The result of Monte Carlo emulation shows that IMM has the obvious virtue of integrating many models, the tracking precision of IMMF-LS is obviously higher than IMM.
通过蒙特卡洛(MONTE CARLO)方法在无线信道条件下对算法进行了模拟，模拟结果显示该方法能有效改善系统性能。
The simulations of the algorithm under wireless channel condition using MONTE CARLO method were presented and show the effective improvement of the system performance.
利用微分进化算法鲁棒性强、搜索效率高的特点，与蒙特卡洛方法对模型进行求解。
On account of the advantages of the differential evolution such as searching efficiency and robustness, this paper applies the algorithm and Monte Carlo simulation to a cascade hydro plants system.
利用微分进化算法鲁棒性强、搜索效率高的特点，与蒙特卡洛方法对模型进行求解。
On account of the advantages of the differential evolution such as searching efficiency and robustness, this paper applies the algorithm and Monte Carlo simulation to a cascade hydro plants system.
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