谷歌的网页级别是特征向量中心性度量的一个变体。

Google's PageRank is a variant of the Eigenvector centrality measure.

youdao

那么当然知道它的法向量。

Well, you know the normal vector.

youdao

对向量处理过程最明显的优化是对代码进行向量化。

The most obvious optimization to make on a vector process is to vectorize the code.

youdao

So we see that I've doubled the size of the vector but I've much more than doubled the number of calls.

所以我们看到我,把向量的大小翻倍了,但是我调用的次数,不仅仅是翻倍了。

麻省理工公开课 - 计算机科学及编程导论课程节选

So this particular vector, you probably can't even see the whole thing on your screen. Well, it's got 40 items in it.

这个特殊的向量，在你的屏幕上可能都看不全,好的，它一共包括40件物品。

麻省理工公开课 - 计算机科学及编程导论课程节选

i It takes i, which is in some sense 1 the length of those vectors, minus 1, because of the way Python works.

还有i，某种意义上,是那些向量的长度减，减1由于Python的工作方式。

麻省理工公开课 - 计算机科学及编程导论课程节选