So the moral here, again, is whenever you're doing an implementation of a simulation, you do need to have some underlying theory about the model.
所以这里的寓意还是,不管你在做什么东西的仿真程序,你需要有一个,模型的底层程序。
for short...to answer that question, we need to get clearer about: What exactly is it for something to be me?
等等这些问题,我们需要先清楚以下问题,我究竟是什么东西
Figure out what I'm trying to walk through What's the collection of things I'm trying to walk through. Figure out what I want to do at each stage. Figure out what the end test is.
弄清楚需要遍历的东西,弄清楚我需要遍历的东西的集合,弄清楚我在每一步该做什么,弄清楚终结测试。
Now to make that happen, it's not adiabatic, right. If I wanted to do that, I'd need a heating element or something to cool, so I could make that temperature change happen, right.
要实现这点,它就不会是绝热的,对吧,如果我想做到这点,我需要一个加热元件或什么制冷的东西,这样我才能让温度变化。
You certainly shouldn't change anything about the function.
你当然也不需要改变函数的什么东西。
What do you need to measure it?
你需要什么东西来测量
Now why? When I put this class together, I didn't think to myself, "Ok, so what are the things that I need to introduce ?" in order to please the participants in the class, the students?"
为什么?,当我开这门课程时,我自己没想过,“好的,我需要介绍些什么东西,以便能取悦课程的参与者,这些学生呢“
Well, you'll know when it crashes, that doesn't help you very much, but you can't always tell whether something's stuck in an infinite loop or whether it's simply taking a long time to compute.
好,你将学到它在什么时候会崩溃,这对你帮助并不大,但是你不能辨别出到底是在一个循环中,有什么东西卡住了呢,还是程序需要很长的时间来计算一个结果呢。
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