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

So there's the vector eight. Indicating I didn't take any of the items.

有8个0的向量,意思就是我一样东西都没拿。

麻省理工公开课 - 计算机科学及编程导论课程节选

I'd argue that MATLAB is basically a targeted language it's targeted at matrices and vectors and things like that.

我认为MATLAB是有特定处理对象的语言,它主要,面向矩阵和向量等。

麻省理工公开课 - 计算机科学及编程导论课程节选

So think of x as a vector of 0's and 1's.

可以把x看成是一个0和1的向量。

麻省理工公开课 - 计算机科学及编程导论课程节选

v The weight, w, and v, these are the two vectors we've seen here.

重量是w和价值，这是我们看过的向量的两个值。

麻省理工公开课 - 计算机科学及编程导论课程节选

to the n, every value in the 1 bit vector we looked at last time is either 0 or 1. So it's a binary n number of n bits, 2 to the n.

从2到n，我们上次看到的,位向量的每个值不是0就是,所以它是n，比特的二进制数,从2到。

麻省理工公开课 - 计算机科学及编程导论课程节选