这个微分方程的，解法是什么呢？
我们已经写出了一个微分方程。
你们有些人也许已经，解出了微分方程。
我只需要取它的对数，对温度微分。
I just need to take log of it, take its derivative with respect to temperature.
顺便说一下，也可以从微分的角度来考虑。
By the way, we can also think of it in terms of differentials.
为什么我们偏爱偏微分呢？
下面我会就这三者稍微分别谈论一下。
得到一个微分方程。
我们已经讲了微分。
我们来看g的微分。
来看一下这个约束量的微分。
Well, let's look at the differential — — of this constraint quantity.
只是在用微分的语言表达，来看先前提到的例子。
Just in the language of differentials. The example that I promised.
这是个微分方程。
我们可以用微分，就像这样，也可以用链式法则。
Well, we could use differentials, like we did here, but we can also keep using the chain rule.
这是整个机理的完整的微分方程，不是它的一部分。
This is the full differential equation for the full mechanism. Not just one part of it.
几个微分方程。
这个就是微分。
要完全了解本课程，应必备微积分和微分方程的知识。
Calculus and Differential Equations are highly recommended for full understanding of the course.
这是一个我们先前不了解的精密复杂的微分信号系统。
This is a sophisticated differential signaling system that we haven't previously known about.
有限的微分区——t1上4个，t2上8个。
Limited micro-partitioning - Four partitions on T1, 8 on t2.
它们唯一共同之处就是,它们都被叫作一阶微分算子。
The only thing they have in common is that both are what's called a first order differential operator.
当对下面做微分的时候，这里的负号就消失了。
The minus sign here disappears when you take the derivative on the bottom.
看来大部分人喜欢微分法，但这不是说微分法就更好。
OK. Majority vote seems to be for differentials, but it doesn't mean that it is better.
微分区和虚拟化。
我们给LPAR分配全内核值和微分区的半内核值。
We assigned whole-core values as well as micro-partitioned half-core value to the LPAR.
这个是符号化的向量算子，其中它的分量是偏微分算子。
That was this symbolic vector operator in which the components are the partial derivative operators.
其他的感应装置是基于微分迁移率分析方法和红外探测。
The other sensors will be based on ‘differential mobility analysis’ and infrared detection.
再说明一下，这是关于这两个向量场，多少有点奇怪的偏微分方程。
And just to tell you again that is a strange partial differential equation relating these two vector fields.
那么对于dA，我们必须谨慎地使用乘法法则，或用偏微分。
Well, then, dA, so we had to use the product rule carefully, or we use the partials.
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