Listing 2's implementation runs in o (n) time. I won't prove this, but the running time of Listing 1's naive, recursive implementation is exponential in n.
清单2中的实现所需的时间比清单1短许多,清单2的运行时间为O (n),而清单1中的递归实现的运行时间是n的指数。
It protects your Nokia N-Series, E-Series and X-Series smartphones by running on the background of your phone in real time.
它保护了在您的手机在后台运行的实时使用诺基亚n系列,E系列和X系列的智能手机。
Reducing N and P rates also decreased N and P accumulation and nitrate content in the soil and decreased the risk of N and P running off.
减少氮磷化肥用量可以大幅度降低氮磷在土壤中的累积和硝酸盐的含量,减少氮磷的流失风险。
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。
If I'm using algorithm that I'm now calling merge sort, T the running time involved in sorting N elements, T of N, you know, is just the same as running the algorithm for the right half, plus what's this plus N come from?
如果我用归并排序算法,对N个元素其运行时间,就等于此算法一半元素的运行时间,另一半的运行时间,再加上N,这个N是什么呢?
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