我们对半刚性高分子链在三维简立方点阵上进行蒙特卡洛数值模拟。
The Monte Carlo method is used to simulation the behavior of a semi-stiff polymer chain in simple cubic lattice.
我们将此方程的预测与原神经元网络动力学的蒙特卡洛模拟结果进行比较，从而展示了新方程的数值精确性。
We demonstrate the numerical accuracy of our kinetic theory by comparing its results to Monte Carlo simulations of the full integrate-and-fire neuronal network.
在此对齿轮进行了可靠性设计，并用蒙特卡洛法进行了数值模拟，证明该方法用于齿轮设计是正确且可行的。
Monte Carlo simulation was employed to realize the reliability design of gears, proving that the application of Monte Carle method in gear design is appropriate and feasible.
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