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  • LeetCode(215) Kth Largest Element in an Array

    题目

    Find the kth largest element in an unsorted array. Note that it is the kth largest element in the sorted order, not the kth distinct element.

    For example,
    Given [3,2,1,5,6,4] and k = 2, return 5.

    Note:
    You may assume k is always valid, 1 ≤ k ≤ array’s length.

    分析

    题目大意:
    从一个未经排序的数组中找出第k大的元素。注意是排序之后的第k大,而非第k个不重复的元素

    可以假设k一定是有效的, 1 ≤ k ≤ 数组长度

    直观的解题方法便是利用排序,然后直接返回nums[len-k]即可,利用库函数sort可实现,T(n)=O(nlogn);

    直接用上述方法必然不是该题目的考察目的,该题目引出一个O(n)解法——快速选择(QuickSelect)算法耶鲁大学关于QuickSelect算法的介绍

    AC代码

    class Solution {
    public:
        //方法一:直观解法 时间复杂度O(nlogn)
        int findKthLargest1(vector<int>& nums, int k) {
            int len = nums.size();
            if (len <= 0 || k > len || k < 0)
                return INT_MIN;
    
            sort(nums.begin(), nums.end());
    
            return nums[len - k];
        }
    
        //方法二:快速选择算法,利用两个辅助数组
        int findKthLargest(vector<int>& nums, int k) {
            int len = nums.size();
            if (len <= 0 || k > len || k < 0)
                return INT_MIN;
            vector<int> A1, A2;
            int idx = rand() % len;
            int key = nums[idx];
            for (int i = 0; i < len; ++i)
            {
                if (nums[i] < key)
                    A1.push_back(nums[i]);
                else if (nums[i] < key)
                    A2.push_back(nums[i]);
                else
                    continue;
            }//for
    
            if (k <= A1.size())
                return findKthLargest(A1, k);
            else if (k > (len - A2.size()))
                return findKthLargest(A2, k - (len - A2.size()));
            else
                return key;
        }
    };

    GitHub测试程序源码

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  • 原文地址:https://www.cnblogs.com/shine-yr/p/5214721.html
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