A "steep" learning curve, in colloquial usage, usually means experiencing a large and increasing amount of effort for a constant amount of learning, i.e. approaching a natural limit.
用通俗的说法,陡的学习曲线表明同等量的学习需要付出很大而且还在增大的努力,即达到了自然极限。
You can adjust the recursion depth limit by changing a constant defined in Listing 4.
可以通过修改清单4中定义的常量来改变最大递归深度。
And we know that it's this constant value in the high temperature limit.
它是常数,我们知道在高温极限时。
I'm going to call it r. It's going to be the gas constant, and now I have r times t is equal to the limit, p goes to zero of p r.
如果去掉p趋于0的条件,在有限压强下都,保持RT=pV的关系。
And so now we have this quantity, p times v bar, and the limit of p goes to zero is equal to a constant times the temperature.
不仅仅对氢气或氮气适用,在p趋于0的极限下,它适用于任何气体。
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