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There's a few exceptions, but most things you can really grind on and certainly that was kind of the history of Microsoft in the early days.
有一些例外，但是大多数都是耗时长久,早期微软也是如此。
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We'll see later on, there are classes of computation that are inherently much more complex. We hate them, because they're costly, but they're sometimes inherently that way.
我们会稍后详细的讲讲这个,有许多内在更加复杂的种类的算法,我们痛恨它们，因为它们很耗时。
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I mentioned that this process has taken many decades and lots of people studying.
我提到这个研究过程耗时数十年,投入无数人力
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It will run the 50 minutes.
将会耗时50分钟。
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And we said that was log rhythmic, took log n time where n is the size of the list.
当列表的长度为n的时候，整个算法耗时log，n的时间。
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Once I have it sorted I can search it in log n time, but that's still isn't as good as just doing n. And this led to this idea of amortization, which is I need to not only factor in the cost, but how am I going to use it?
一旦对其完成排序,就可以在log，n的时间内对其完成搜索,但是这样做仍然不如n的复杂度,这样做引出了耗时分摊的想法,这时不仅需要考虑耗时的因素？
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