qmc的音标

The rest of this paper is organized as follows. Chapter 3 applies the method in Chapter 2 into two-stage stochastic programs with recourse, generating the observations by Monte-Carlo ( MC) method or by Quasi Monte-Carlo ( QMC) method respectively.

论文第三章介绍了将第二章给出的方法用于求解一种二阶段带补偿随机规划问题，分别给出基于Monte-Carlo（MC）方法产生观察点和基于拟Monte-Carlo（QMC）方法产生观察点的算法。

Different from other QMC methods which can only deal with the ground situation, PIMC can simulate the system in finite temperature on the quantum level and calculate the thermal dynamical averages.

和其它只能计算基态性质的模拟方法不同，PIMC可以在量子层次上对物质的有限温度进行模拟，给出其它态上的热力学平均值。

While Monte Carlo ( MC) methods are based on random sampling, Quasi-Monte Carlo ( QMC) methods use deterministically chosen points known as low discrepancy sequences.

蒙特卡罗方法（MC）采用的是随机抽样生成的样本点，而拟蒙特卡罗方法（QMC）生成的是确定性的点列（低偏差序列）。