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 has5
papers in total and each of them had received 0, 1, 3, 5, 6
citations respectively. Since the researcher has3
papers with at least3
citations each and the remaining two with no more than3
citations each, her h-index is3
.
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?
暴力 o(n)
1 class Solution { 2 public: 3 int hIndex(vector<int>& citations) { 4 int max = 0 ; 5 int size = citations.size() - 1; 6 for(int i = size;i >= 0; --i) { 7 int cur_num = size-i + 1; 8 if(citations[i]>=cur_num) { 9 max =std::max(max,cur_num); 10 } 11 } 12 return max; 13 } 14 };
二分 log(n)
1 class Solution { 2 public: 3 int hIndex(vector<int>& citations) { 4 int max = 0 ; 5 int size = citations.size(); 6 int low = 0; 7 int high = size; 8 while(low < high) { 9 int mid = low + (high - low) / 2; 10 int cur_num = size-mid ; 11 if(citations[mid]>=cur_num) { 12 high = mid; 13 max =std::max(max,cur_num); 14 } else { 15 low = mid+1; 16 } 17 } 18 return max; 19 } 20 };