在TMS320C 6201上执行113位和191位算法证实确实提高了模乘和模逆两种运算的速度。
It is proved that the speeds of modular multiplication and inversion method are both improved by performing 113 bits and 191 bits methods on TMS320C6201.
仿真还可以允许对机器人控制系统进行革新，这依赖于很多代控制系统的随机排列（遗传算法可以证实这一点）。
Simulation also allows the evolution of robotics control systems, which depend on random permutations of the control system over many generations (as demonstrated by genetic algorithms).
实际算例的结果证实了该算法对综合负荷模型参数辨识的有效性和准确性。
The results of two practical examples prove its validity and accuracy when applied it in parameter identification of composite load model.
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