H-Index II Given an array of integers citations
where citations[i]
is the number of citations a researcher received for their ith
paper and citations
is sorted in an ascending order, return compute the researcher’s h
-index.
According to the definition of h-index on Wikipedia: A scientist has an index h
if h
of their n
papers have at least h
citations each, and the other n − h
papers have no more than h
citations each.
If there are several possible values for h
, the maximum one is taken as the h
-index.
You must write an algorithm that runs in logarithmic time.
Example 1:
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, their h-index is 3.
Example 2:
Input: citations = [1,2,100] Output: 2
Constraints:
n == citations.length
1 <= n <= 105
0 <= citations[i] <= 1000
citations
is sorted in ascending order.
H-Index II Solutions
✅Time: O(log n)
✅Space: O(1)
C++
class Solution {
public:
int hIndex(vector<int>& citations) {
int l = 0;
int r = citations.size();
while (l < r) {
const int m = l + (r - l) / 2;
if (citations[m] >= citations.size() - m)
r = m;
else
l = m + 1;
}
return citations.size() - l;
}
};
Java
class Solution {
public int hIndex(int[] citations) {
int l = 0;
int r = citations.length;
while (l < r) {
final int m = l + (r - l) / 2;
if (citations[m] >= citations.length - m)
r = m;
else
l = m + 1;
}
return citations.length - l;
}
}
Python
class Solution:
def hIndex(self, citations: List[int]) -> int:
l = 0
r = len(citations)
while l < r:
m = (l + r) // 2
if citations[m] >= len(citations) - m:
r = m
else:
l = m + 1
return len(citations) - l
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