But you don't have to increase your guess linearly.

但你不需要线性地增加你的猜测。

666. Under the guideline, the output of streamlined seamless liners declines linearly.

该方针的指引下，流线型无缝班机的产量直线下降。

But you don’t have to increase your guess linearly.

但你不必线性增加你的猜测。

The numbers just kept going up, but not, like, linearly.

数字一直上升，但不是线性上升。

As we process everything sequentially, the execution time of the algorithm scales linearly with the number of pixels we can generate.

当我们一步步处理运算过程时，会发现算法的执行时间与我们可以生的像素数间是呈线性关系的。

The effect is that the size of an object, with distance, it doesn’t change linearly.

效果是物体的大小， 随着距离，不会线性变化。

In our case, the model tells us that the number of tickets scales linearly with the number of small or large gigs.

我们的例子中，模型告诉我们门票的数量与小型或大型演出的数量线性比例。

The technical definition of a basis of a space is a set of linearly independent vectors that span that space.

间基的专业定义是一组线性无关的向量 它们间。

Those of you who watch Chapter Two will recognize this as meaning that the columns of the matrix are linearly dependent.

看过第二章的人会知道这意味着矩阵的列向量是线性相关的。

On the other hand, if each rector really does add another dimension to the span, there said to be linearly independent.

另一方面 如果每个矩形确实给的间增加了另一个维度 这就是线性无关的。

His comfort with non-linear storytelling is very apparent in The Social Network For the first twenty-two pages, the script moves linearly, then jumps forward in time to Eduardo's deposition.

他对非线性叙事的适应《社交网络》中表现得非常明显。 前二十二页，剧本呈线性移动， 然后及时跳转到爱德华多的证词。

Now, given how I described a basis earlier, and given your current understanding of the words span and linearly independent, think about why this definition would make sense.

现 考虑到我前是如何描述一组基的 以及你目前对间和线性无关的理解 想想为什么这个定义是有意义的。

Whenever this happens, where you have multiple vectors and you could remove one without reducing the span, the relevant terminology is to say that they are linearly dependent.

每当这种情况发生时 当你有多个向量你可以不缩小间的情况下移除一个 相关的术语是说它们是线性相关的。

If the vectors that I had N-J had land on, are linearly dependent, which, if you recall from last video, means that one is a scaled version of the other.

如果N-J所落的向量 是线性相关的 如果你还记得上个视频 这意味着一个向量是另一个向量的缩放版本。

It means that the linear transformation squishes all of two d space on to the line where those two vectors sit, also known as the one dimensional span of those two linearly dependent vectors.

它意味着线性变换将所有二维间压缩到这两个向量所的直线上 也称为这两个线性相关向量的一维的间。

But the reason why the investment case is so exciting is that when you have bits and you increase the number of bits, the performance of a classical computer scales linearly with the number of bits.

但投资案例如此令人兴奋的原因是， 当你拥有比特并且增加比特数时，经典计算机的性能会随着比特数线性扩展。