Connectivity, maxima and minima, and other graph and matrix concepts are explained here.
连通性、最大通路和最小通路以及其他图和矩阵的概念在本章中都进行了介绍。
The distance of the contour from its axis of rotation continuously varies through alternating maxima and minima.
这是自其旋转轴轮廓的距离不断变化，通过交替极值。
You just have to keep remembering which one is a variable, and which one isn't. OK, so more about this next time, and we will also learn about maxima and minima in several variables.
你只需弄清哪个是变量，哪个不是，下次课会涉及更多的内容，我们还会学习，多变量函数的最大值和最小值。
Information analysts use classifications for aggregating measures in statistical groupings such as totals, averages, minima, and maxima.
信息分析员将分类用于统计组中的聚集测度，统计组有总数、平均数、最小值和最大值等。
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?
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？
Note that local minima and maxima are normal and expected because the free space only increases during a GC cycle and correspondingly decreases when the application is active and allocating.
注意，容易实现本地的最小和最大空间，因为自由空间仅在GC循环期间增加并且在应用程序处于活动时和进行分配时相应减少。
Ok, so that's the same kind of setup as we had last time, except now we are not just looking for minima and maxima.
这和上一次看到的是一样的，除了我们不仅仅是在寻找最大最小值。
However, when the shape parameter is larger than 1, we only obtain that the minima is larger and maxima is smaller in stochastic order.
然而当形状参数大于1时，样本对应的极大值和极小值统计量有着相反的一般随机序。
However, when the shape parameter is larger than 1, we only obtain that the minima is larger and maxima is smaller in stochastic order.
然而当形状参数大于1时，样本对应的极大值和极小值统计量有着相反的一般随机序。
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