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.
分析:
本题比较简单,不多说!
class Solution {
public:
int hIndex(vector<int>& citations) {
sort(citations.begin(),citations.end());//排序
for(int i=0;i<citations.size();i++)
if(citations[i] >= (citations.size()-i))//如果当前引用数大于它的位置(倒着数),那么就是他了
return (citations.size()-i);
return 0;
}
};
Follow up for H-Index: What if the citations array is sorted in ascending order? Could you optimize your algorithm?
Hint:
- Expected runtime complexity is in O(log n) and the input is sorted.
分析:
class Solution {
public:
int hIndex(vector<int>& citations) {
if (citations.empty())
return 0;
int start = 0, len = citations.size(), end = len - 1;
while (start <= end) {
int mid = (start + end)/2;
if (citations[mid] < len - mid)
start = mid + 1;
else if (citations[mid] > len - mid)
end = mid - 1;
else
return len - mid;
}
return len - start;
}
};
另外的写作形式:
class Solution {
public:
int hIndex(vector<int>& citations) {
int len = citations.size(), low = 0, height = len-1, mid;
while (low <= height) {
mid = (low + height) / 2;
if (citations[mid] >= len - mid)
height = mid-1;
else
low = mid + 1;
}
return len - low;
}
};
注:本博文为EbowTang原创,后续可能继续更新本文。如果转载,请务必复制本条信息!
原文地址:http://blog.youkuaiyun.com/ebowtang/article/details/50849690
原作者博客:http://blog.youkuaiyun.com/ebowtang
本博客LeetCode题解索引:http://blog.youkuaiyun.com/ebowtang/article/details/50668895
本文介绍了一种计算研究人员h指数的方法,包括未排序和已排序两种情况下的算法实现。通过排序和二分查找的方式,有效地找到了满足条件的h指数。

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