Therefore, for simple branching programs, the length of time, the complexity the code, is what we would call constant.

因此，对于简单的分支程序，运行的时间长度，算法的复杂度，也就是我们说的常数。

麻省理工公开课 - 计算机科学及编程导论课程节选

Again, I want you to start seeing how to map the characteristics of the code- the characteristics of the algorithm, let's not call it the code-- to the complexity.

是算法中的那些特性,我们还是别说代码了，转化为复杂度-,我一会儿还会再讲点儿这个的，但是我们再看一个例子。

麻省理工公开课 - 计算机科学及编程导论课程节选

Right? If that was the case in that code, then my complexity is no longer log, because I need linear access for each time I've got to go to the list, and it's going to Lisp be much worse than that.

这里的复杂度不再是对数的了，因为每次在列表中，查找需要线性访问,可能还要糟糕,其实，有些编程语言，如。

麻省理工公开课 - 计算机科学及编程导论课程节选

Remember last time, I said that there's different kinds of complexity in our code, and I suggested for simple branching programs, the amount of time it takes to run that program is, in essence, bounded by the number of instructions, because you only execute each instruction at most once.

但是这里有个很重要的点,记得上节课，我提过在我们的代码中，有不同种类的复杂度，而且我还说了对于简单的分支程序,运行这种程序需要的总体时间,大体上，是和指令的数目相关的,因为每个指令只会被执行最多一次。

麻省理工公开课 - 计算机科学及编程导论课程节选