我在寻找一个标准的方法来确定一个程序的运行时间复杂度为。

I am searching for a standard way to identify running time complexity of a program.

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它将从预定的有效命令行选项列表和时间复杂度为O(1)的查找函数中生成一个散列表。

It generates a hash table from the predetermined list of valid command-line options and a lookup function whose time complexity is o (1).

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为了解决这个问题，本文提出一种新的模式合一算法，共时间复杂度为线性的。

To solve the problem, this paper proposes a new pattern unification algorithm, which time complexity is linear.

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It at least does corroborate the claim that merge sort N*log N as we argue intuitively is in fact, N log N in running time.

但这至少证实了归并排序,的时间复杂度为。

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You can actually say big O of 1, big O of 1 being constant time, the same number of steps.

其复杂度为O，表示时间是一个常量，所用的步数是相同的。

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