这样说吧,我期望到现在为止所有人都同意:至少在下个10年,我们不会在市场上看到这样一个魔力BPMS。
Stated that way, I hope that by now everyone agrees that we will not see such a magical BPMS on the market for at least another 10 years.
在现在为止,我们没有看到性能的问题,因为在测试的任何一个点上CPU的负载从没变得紧张。
For now, we didn't see this as a performance concern, since the CPU load never become stressed at any point in the test.
现在为了这些数据量,让我们先结束一个未解决的问题。
Now as for all these data sizes, let's close one outstanding question.
So, if we think about the second case here where we have c n minus, now we're talking about a molecule with a net charge of negative 1.
那么,如果我们考虑的是第二个例子,也就是氰离子,那么现在我们讨论的是一个净电荷量为负一的分子。
So similarly, as we now move up only one more atom in the table, 3 so to an atomic number of three or lithium, now we're going from six variables all the way to nine variables.
类似地就像我们现在,移动到周期表中仅仅多一个电子的情况,移动到一个原子数为,或者锂元素,现在我们从6个变量到了9个变量。
So what we do is we pick an origin, call it zero, we put some markers there to measure distance, and we say this guy is sitting at 1,2,3,4,5.
我们现在选择一个原点,称其为零点,我们做一些标记来测量距离,这个点在五个单位长度的地方
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