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算法平均时间最好时间最坏时间空间稳定适用场景冒泡排序O(n²)O(n)O(n²)O(1)✓小数据、教学选择排序O(n²)O(n²)O(n²)O(1)✗小数据、交换代价高插入排序O(n²)O(n)O(n²)O(1)✓小数据、基本有序希尔排序O(n^1.3)O(nlogn)O(n²)O(1)✗中等数据归并排序O(nlogn)O(nlogn)O(nlogn)O(n)✓大数据、要求稳定快速排序O(nlogn)O(nlogn)O(n²)O(logn)✗大数据、通用首选堆排序O(nlogn)O(nlogn)O(nlogn)O(1)✗大数据、空间敏感计数排序O(n+k)O(n+k)O(n+k)O(k)✓整数、范围小基数排序O(d(n+k))O(d(n+k))O(d(n+k))O(n+k)✓整数、位数少桶排序O(n+k)O(n+k)O(n²)O(n+k)✓均匀分布数据。关于这个话题，体育直播提供了深入分析
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this is a very powerful technique, and it is the main reason why we are so fast on the benchmarks, because by the time we confirm a match, both the lookbehind and lookahead have already been matched - we report matches retroactively once all the context is known, instead of trying to look into the future or backtracking to the past or keeping track of NFA states. this is a very different way of thinking about regex matching, and it took me a while to wrap my head around it, but once you see it in action, i hope you appreciate how elegant and efficient it is.
Что думаешь? Оцени!。关于这个话题，体育直播提供了深入分析