提出了基于MMX技术的优化方法，并对这两个模块进行了重点优化。
查看您的局部代码执行次数和时间以突出需要重点优化的区域，从而对您的优化工作给予最高的回报。
Seeing the number of evaluations and time spent on parts of your code can highlight areas that will yield the highest return for optimization efforts.
但在第一次广告中，您会想要重点优化广告的 ROI 和用户 LTV，直到出现规律。
In your initial campaigns, however, you'll want to focus on optimizing ROI and user LTV across your campaigns until patterns emerge.
对耗时较长的核心算法人眼的定位算法，采用数据打包，循环展开，使用内联函数等多种优化方法对其进行重点优化，取得较好效果。
For the time-consuming eyes location algorithm, we used packing data, expanding the circle, using online functions and other optimization methods to optimize it, and achieve better results.
