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  • [LeetCode]H-Index

    H-Index

    Given an array of citations (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."

    For example, given citations = [3, 0, 6, 1, 5], which means the researcher has 5 papers in total and each of them had received 3, 0, 6, 1, 5 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, his h-index is 3.

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

    N篇大于等于N个引用的文章,则返回N。

    排序O(nlogn)。

     1 class Solution {
     2 public:
     3     int hIndex(vector<int>& citations) {
     4         if(citations.size()==0) return 0;
     5         int n = citations.size();
     6         sort(citations.begin(),citations.end());
     7         for(int i=0;i<n;i++)
     8         {
     9             if(citations[i]>=(n-i)) return (n-i);
    10         }
    11         return 0;
    12     }
    13 };

    不排序也可以,需要O(n)的空间,储存n次引用的文章数目。

     1 class Solution {
     2 public:
     3     int hIndex(vector<int>& citations) {
     4         if(citations.size()==0) return 0;
     5         int n = citations.size();
     6         vector<int> sign(n+1,0);
     7         for(int i=0;i<n;i++)
     8         {
     9             if(citations[i]>=n)
    10             {
    11                 sign[n]++;
    12             }
    13             else
    14             {
    15                 sign[citations[i]]++;
    16             }
    17         }
    18         if(sign[n]>=n) return n;
    19         for(int i=n-1;i>=0;i--)
    20         {
    21             sign[i]=sign[i]+sign[i+1];
    22             if(sign[i]>=i) return i;
    23         }
    24         return 0;
    25     }
    26 };
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  • 原文地址:https://www.cnblogs.com/Sean-le/p/4806413.html
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