Monte Carlo-MC 蒙特卡罗
monte carlo model mc 蒙特卡罗模型
monte carlo method mc montecarlo方法
monte carlo simulation mc 蒙特卡罗模拟法
monte carlo molecular simulation mc montecarlo分子模拟
Through MC simulation test, the relation of average grain size and Monte Carlo steps was established and the parameters of MC model were work out by the method of regression analysis.
运用MC模拟试验，建立了平均晶粒尺寸与蒙特卡罗步数之间的关系，利用回归分析方法确定了MC模型常数。
Then this method is compared with the Monte Carlo(MC) method. Results show that the FEA method has a accurate resolution and the calculation time is greatly decreased.
将此方法和蒙特卡罗方法模拟的光场分布进行比较，结果表明，有限元方法对脑组织内的光场分布模拟相当精确，同时模拟所用的时间大大缩短。
The Genetic Algorithms combined with Monte Carlo Algorithms (MC) is introduced for solving the problems.
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。
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