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275.H-Index II

Tags: Medium Binary Search

Links: https://leetcode.com/problems/h-index-ii/


Given an array of citations sorted in ascending order (each citation is a non-negative integer) of a researcher, write a function to compute the researcher's h-index.

According to the definition of h-index on Wikipedia: "A scientist has index h if h of his/her N papers have at least h citations each, and the other N − h papers have no more than h citations each."

Example:

Input: citations = [0,1,3,5,6]
Output: 3 
Explanation: [0,1,3,5,6] means the researcher has 5 papers in total and each of them had received 0, 1, 3, 5, 6 citations respectively. Since the researcher has 3 papers with at least 3 citations each and the remaining two with no more than 3 citations each, her h-index is 3.

Note:

If there are several possible values for h, the maximum one is taken as the h-index.

Follow up:

  • This is a follow up problem to H-Index, where citations is now guaranteed to be sorted in ascending order.
  • Could you solve it in logarithmic time complexity?

下标i 0 1 2 3 4
citations[i] 0 1 3 5 6
n - i 5 4 3 2 1

根据上面的表格,很容易知道去寻找第一个满足citations[i] >= n - i的下标i,然后结果就是n-i,数组内全是0的情况单独考虑,常数空间,时间复杂度O(\log n)

class Solution {
public:
    int hIndex(vector<int>& citations) {
        int n = citations.size();
        if(n == 0 || citations[n - 1] == 0) return 0;
        int left = 0,right = n - 1;
        while(left < right)
        {
            int mid = (left + right) / 2;
            if(citations[mid] >= n - mid) right = mid;
            else left = mid + 1;
        }
        return n - left;
    }
};