I'm trying to write these two unknowns in terms of these two knowns and you can solve for them.
我会试着将这两个未知量,用这两个已知量表示出来 这样你们就可以求了
And the problem is, that we want to build this abstract data type, but we'd like to basically know what kind of object is it, and what functions actually belong to it, how do we use them?
然后我对它们运行了这个方法,就是这一小段代码这个方法,这有意义么?,当然没有了,对不对?,因为你知道,当你把两个极坐标,表示的点进行相加运算的时候?
In Scratch, the block you may have used for this idea literally says "or" for or; in C, two vertical bars.
在Scratch中,这个你用的程序块,照字面地想法来说“or“表示或者;,在C语言中,是两个竖线。
On the vertical axis I'll put two vertical axes in, just for the sake of things on the vertical axis I'll put my expected payoffs.
坐标系的纵轴,由于种种原因,我花了两个纵轴,纵轴表示我的预期收益
It does represent the sum, in the sense that if i gave you four bucks and I gave you five bucks, I gave you effectively nine.
它表示的就是这两个矢量的和,好比是如果我给了你四美元,然后再给你五美元,我其实给了你九美元
And when we look at this, it's actually split by what's called a nodal plane, which is pointed out in light orange here on this picture, but what we just mean is that there is this whole plane that separates the two lobes where there is absolutely no electron density.
我们来看这里,实际上它被一个节面分开,在这图里用淡黄色表示,这意味着这个分开,两个叶瓣的平面上,是完全没有电子密度的。
A positive covariance means that the two move together.
一个正值的协方差表示两个变量同向变动
We put it more graphically before but that's fine. Two more outcomes.
这条我们用矩阵表示的,还差两个
So this is a little bit trickier to look at and see what it means, but essentially we have two hybrid orbitals, which are shown in blue here, and then we have one p orbital that's left alone that's going up and down on the page.
看这个图肯能会觉得比较诡异,但本质上,骂我们有两个杂化轨道,这里用蓝色表示,还有剩下一个p轨道,在图中上下方向上。
And a bit, B-I-T, just a shorthand for binary digit, 2 so a digit of zero over a one, bi means two, you only have two digits.
比特,B-I-T,是binary,digit的简写,从0到1的数字,而bi表示,所以你就只有两个数字。
This is the payoff to Player I of choosing Middle against Right, and the line in between, this line here, is the expected payoff to Player I of choosing Middle as a function of the probability that other people choose Right.
这条表示对手选右时参与人选中的收益,两个端点中间的线段部分,表示参与人I选右的预期收益,它是对手选右概率的一个方程
应用推荐