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nth_element
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描述:重新排序,使得[nth,last)内没有任何一个元素小于[first,nth)内的元素,
但对于[first,nth)和[nth,last)两个子区间内的元素次序则无任何保证。
思路:
1.以 median-of-3-partition 将整个序列分割为更小的左、右子序列
2.如果 nth 迭代器落于左序列,就再对左子序列进行分割,否则就再对右子序列进行分割
3.直到分割后的子序列长大于3,对最后这个待分割的子序列做 Insertion Sort
复杂度:O(n)
源码:
template <class RandomAccessIterator> inline void nth_element(RandomAccessIterator first, RandomAccessIterator nth, RandomAccessIterator last) { __nth_element(first, nth, last, value_type(first)); } template <class RandomAccessIterator, class T> void __nth_element(RandomAccessIterator first, RandomAccessIterator nth, RandomAccessIterator last, T*) { while (last - first > 3) { //采用 median-of-3-partition 。参数:(first,last,pivot) //返回一个迭代器,指向分割后的右段第一个元素 RandomAccessIterator cut = __unguarded_partition (first, last, T(__median(*first, *(first + (last - first)/2), *(last - 1)))); if (cut <= nth) //如果 nth 落于右段,再对右段实施分割 first = cut; else //如果 nth 落于左段,对左段实施分割 last = cut; } __insertion_sort(first, last); //对分割后的子序列做 Insertion Sort } template <class RandomAccessIterator, class T> RandomAccessIterator __unguarded_partition(RandomAccessIterator first, RandomAccessIterator last, T pivot) { while (true) { while (*first < pivot) ++first; --last; while (pivot < *last) --last; if (!(first < last)) return first; iter_swap(first, last); ++first; } }
int A[] = {7, 2, 6, 11, 9, 3, 12, 10, 8, 4, 1, 5}; const int N = sizeof(A) / sizeof(int); nth_element(A, A + 6, A + N); copy(A, A + N, ostream_iterator<int>(cout, " ")); // The printed result is "5 2 6 1 4 3 7 8 9 10 11 12".