We saw, associated with that primitive data, we have ways of taking data in and creating new kinds of data out, or new versions of data out, so we have operations.
我们可以取得输入的数据然后,创建新的类型的输出数据,或者新的版本的输出数据,这就是我们说的操作。
you know, you get in touch with someone in that club, and they are going to add you in the mailing list.
你可以和俱乐部中的人取得联系,然后他们就把你加入联系人名单。
They do extremely well on the first test and conclude that chemistry is in the bank and they can focus on the other subjects.
它们在首次考试中取得了好成绩,总的来说化学是根基,他们可以在其他事情上投入精力。
I could spend the next twenty minutes just talking about his accomplishments.
我可以用尽接下来20多分钟的时间,来介绍他所取得的成就。
And I can obviously do the other direction which is I can say skip to index 2 and all the remaining pieces. This lets me slice out, if you like, the front part or back part or a middle part of the tuple as I go along.
很明显我可以从索引2开始切片,所有剩下的元素,这可以让我2,如果你喜欢我这么说的话,取得元素的前面的或者后面的,或者中间的部分。
So it's very important that you prepare well for the LSAT. And it's a very learnable test.
所以,好好准备LSAT是非常重要的。而且LSAT是可以通过精心准备来取得好成绩的。
So we're to assume we can get to any piece of data, any instruction in constant time, and the second assumption we're going to make is that the basic primitive steps take constant time, same amount of time to compute. Again, not completely true, but it's a good model, so arithmetic operations, comparisons, things of that sort, we're all going to assume are basically in that in that particular model.
因此如果我们假设在恒定的时间内,我们可以取得任何一块数据,任何一种数据结构的话,我们要做的第二个假设就是,基本的原始操作计算花费的时间是恒定的,这个假设也不是完全正确的,但这个模型其实挺不错的,因此算法操作,比较,这一类的事情,我们在这个特定的模型中都假设是基本的,操作,花费的时间是恒定相同的。
All right, now, that's one of the ways we could get things out, but in fact it's really not a good way.
找到x的值,好,这是一种我们可以取得值的方法,但是实际上这不是一种好方法,更好的一种办法。
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