So, from going from the shell of n equals 2, let's say, to the shell of n equals 3.
比如说,从n等于2到n,等于3壳层如何变化。
So kind of that strange cursive r, and our n final is 2, R so 1 over 2 squared minus n initial, so 1 over 3 squared.
因为我们可以在这里用到它,这个有点奇怪的花体。
One over two squared minus one over n squared 3 4 5 where n takes values three, four, five, six.
除以,2,的平方再减去1除以n的平方,将n赋值为。
We said each of the merge operations O was of order n. But n is different. Right?
注意这里发生了什么,我们说过每一次合并操作的复杂度都是?
It at least does corroborate the claim that merge sort N*log N as we argue intuitively is in fact, N log N in running time.
但这至少证实了归并排序,的时间复杂度为。
If you have a sample with n observations, it's the summation I = 1 to n of xi/n--that's the average.
如果你有n个观测值,对Xi从i=1到n求和再除以n
That energy will be absorbed by the hydrogen atom, n=1 the electron will rise from n equals one n=2 to n equals two.
这能量将会被氢原子吸收,这个电子会从,上升到。
There are some relative, the notion that the energy gap between n equals one and n equals two is greater than that for n equals two to n equals three. That is correctly represented.
还有很多与之相关的内容,比如说这个观点,第一能量级和第二能量级,之间的能量差要大于第二和第三能量级间的,能量差,而这已经被正确地表示出来了。
n Alright. So if n is less than or equal to 1, return n. Well that's not right, right?
好吧,如果n小于等于1,它会返回,这里不对,是吧?
And note that as Z increases, as the proton number increases the radius decreases for a given n number.
并注意到当Z不断增加,对于一个给定的n,即当质子数增加的时候,半径的n值就减小了。
*t t of n minus 1 is 3 plus 2 t of n minus 2.
加上。
So it looks a lot less messy if we just draw our Lewis structure like this for h c n, where we have h bonded to c triple bonded to n, and then a lone pair on the nitrogen there.
这看起来整洁了不少,如果我们把氰化氢的路易斯结构画成这样的话,这样我们就有氢与碳之间的单键和碳与氮之间三键,然后还有一对孤对电子在氮这里。
So in other words, every time I merge the point that I kept emphasizing verbally there and that I'm only touching each number once, means that we have to account for the amount of time it takes to merge N which is going to be just N. Now, this is again one of these cyclical answers.
换言之,之前在做合并时,我不停地强调,对每个数字我只碰了一次,这就是说,我们要记录合并所花的时间量,也就是这里的,这又是一种循环性的答案。
N log N is not nearly as good as log N. As a sanity check, what algorithm have we seen that runs in log N time?
而N,log,N和log,N并不一样,我们之前探讨过的哪个算法其时间复杂度是log,N呢?
We're getting further away from the nucleus because we're jumping, for example, from the n equals 2 to the n equals 3 shell, or from the n equals 3 to the n equals 4 shell.
我们将会离原子核越来越远,因为我们在跃迁,比如从,n,等于,2,的壳层到n等于,3,的壳层,或者从,n,等于,3,的壳层到n等于,4,的壳层。
b The repulsive term goes as some constant lower case b divided by R to the n. N is not the quantum number.
这种斥力很想一个固定的小写字母,被R到n分开的话,N不是量子数。
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