I have read an entire page full of words and given it zero because it is not on topic.
我读到的是一整篇都是单词的文章,给了零分,因为跑题了。
So, actually I want you to go ahead in your notes and circle that zero point and write "not a node."
在你们笔记上把这个零点圈出来,在旁边写上“不是节点“,它不是节点“
If the time you are interested in is not zero, you're allowed to cancel it and get the time from here.
如果你们关注的解不是零时刻,那么就可以忽略它,然后从这里解出时间
It's not going to be zero this time because we have non zero heat exchange between the system and the environment, right.?
热力学量,但是现在让我们看一下,我们的特殊函数,这次它不会是零,因为系统与外界的热量交换并不是零,对吧?
And I mentioned on Wednesday that computer scientists do 1 in fact start counting from zero not one.
在星期三,我曾经提到过计算机专家,从0开始计数而不是。
But let's look for a slight variant of it, where greedy is not so good. And that's what's called the zero-one knapsack problem.
但是让我们找一找它的一些变种,在这些变种中贪婪算法用处不大,这些问题也就是0/1背包问题。
If you're relentlessly selfish and calculating you would say, the chances that I decide the election are zero, so I'm just not going to bother.
如果你唯利是图,精于算计,你会说,我的投票能够决定选举的概率是零,所以我根本无需投票
So what we are doing: we cultivate the positive; we are strengthening our,metaphorically speaking, " psychological "engine"; and we are better able to deal with the negative to zero, not to mention the fact that we are also able to become happier.
所以我们在做的是,培养积极性;,按那个比喻来说,我们正在增强,心理“引擎;,我们能够更好将负值转化为零,更别说还能变得更快乐。
And also that we know that the zero does not count as a node, if per se I actually had managed to hit zero in drawing that, so the correct answer would be the bottom one there.
另外你们要知道零点不是节点,假设说我确实把零点画成0了,那正确的结果就是底下这个。
This was my best attempt at hitting zero and not having the graph go down there.
这是我最好的尝试,使它接近零但又不掉下去。
So that's why we have this zero point here, and just to point out again and again and again, it's not a radial node, it's just a point where we're starting our graph, because we're multiplying it by r equals zero.
这就是为什么在这里有个零点,我需要再三强调,这不是径向零点,他只是我们画图的起始处,因为我们用r等于0乘以它。
So, that can be a little bit confusing for us to think about, and when it's a very good question you might, in fact, say well, maybe there's not zero probability here, maybe it's just this teeny, teeny, tiny number, and in fact, sometimes an electron can get through, it's just very low probability so that's why we never really see it.
这想起来有点令人困惑,你们可能会说也许,这里的概率并不是严格的为零,而是非常非常小,所以有时电子就可以穿过去,这是个,很好的想法。
The reason in our radial probability distributions we start -- the reason, if you look at the zero point on the radius that we start at zero is because we're multiplying the probability density by some volume, and when we're not anywhere 0 from the nucleus, that volume is defined as zero.
在径向概率密度里,我们开始,如果你们看半径的零点,我们从零点开始,因为我们用概率密,度乘以体积,而当我们,在离核子很近的地方,体积是,所以我们会在这里。
All right, we're-- well actually, I should say that better, we first check to see, is x 0 greater than or equal to zero, if it's not, then we come down here and we print something out, otherwise we run through a little loop to get the answer, and then we check it and we spit something out.
然后我们运行一个小循环,好了,我们现在来看看,如果x≥0或者x<,我们看这儿,我们会输出一些内容,或者我们运行一个小循环来获取答案,然后我们检验一下,然后得到结果。
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