当在最小值点的时候,两个梯度向量就垂直了。
When I am at a minimum, the two gradient vectors are parallel.
接着,我们找最小值点,会发现它不是临界点。
But then, when we are looking for the minimum of a function, well, it is not at a critical point.
也就是说,如果你可以解出来或者去除掉这些变量的点,就是临界点,当你有这样的问题要解决的时候,我们找到临界点了,它们一定是最大值点或者最小值点吗?
That means if you were able to solve and eliminate the variable that would be a critical point. When you have the same problem, as we have critical points, are they maxima or minima?
And so, I need to cheat a little bit on the drawing and make sure that this minimum occurs right here.
所以,我需要在画时作点弊,以确保最小值出现在这儿。
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