If this were to be an absolute zero Kelvin, then we could we can have something, T2 Sorry, it's T2.
如果它等于绝对零度,我们可以,对不起,这是。
Now for this experiment, this is a constant enthalpy experiment for the Joule-Thomson experiment, this is equal to zero.
对于这个实验,焦耳-汤姆逊实验,是一个焓不变的实验,焓变化等于0,所以我可以。
We will always have r equals zero in these radial probability distribution graphs, and we can think about why that is.
在这些径向概率分布图里,总有r等于0处,我们可以考虑为什么会这样。
So even though we think of conditions as being Boolean values true or false, really underneath the hood true means anything other than zero.
即使我们考虑,布尔值的真假条件,在底层“真“表示非零。
Let's plot droplet velocity as a function of looking at the number that have this velocity 0 with the zero being in the center here.
我们将液滴的速度设定为,观察那些数字作用,在中心的地方,速度为。
So you sort of have a zero-base budgeting model of, "If we were a start-up, what would we do? How would we organize to deliver value to the customers?"
所以得有一个零基础预算模式,如果我们从头开始,我们该做什么,我们如何组织以带给客户价值“
So,after taking into account the market impact, and the commissions,and the fees, this zero-sum game becomes a negative-sum game.
所以,考虑到市场冲击,佣金,规费,这一零和博弈变成了负和博弈
Zero profits, I'll make zero profits, so that certainly is a best response, pricing at marginal cost as well.
零利润,我将没有利润,所以这确实是一个最佳对策,也定价在边际成本
In fact, my program crashes because I end up trying to divide by zero, a really bad thing. Hint: if you implement Newton's method, do not make your first guess zero.
我下一步都没法开始,实际上,我的程序会崩溃,因为我试着去除0了,真糟糕,提示你:如果你想用牛顿的方法,第一个猜想数别设为0。
It's not even a zero-- or rather if I have less, you'll have less- that's a negative sum game-- or a zero sum game-- if I have more, you'll have less- it's a fixed pie.
甚至不是一个零…,或者我更少,你也会更少,那也是负和游戏-,或零和游戏,我更多,你就会更少-,饼就那么大。
dT/dp is mu JT. So for a real gas like air, this is a positive number. It's not zero.
所以对于像空气这样的真实气体,这是一个正数,不等于零。
It doesn't go all the way to absolutely 100 percent ammoniazero hydrogen zero nitrogen if they were mixed together with the right ratios.
即使按适当比例混合,也不会出现全部氨气,没有氢气和氮气的情况。
And then we calculate changes, the convention is understood with respect to what is the zero, right.
然后我们计算改变,这个约定就是用来规定零点的位置的。
And when we define that as r being equal to zero, essentially we're multiplying the probability density by zero.
当我们定义r等于0处,事实上是把概率密度乘以0.
In principle, this value, this efficiency, can approach 1 as the low temperature approaches absolute zero.
这个值,效率,当低温热源的温度1,是据对零度时可以达到一。
In week zero, when we tore the phonebook in half and half and half we were recursing through that problem.
当我们将电话簿划分为一半又一半的时候,其实就是利用递归在解决问题。
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