Problem
Given an array nums
sorted in non-decreasing order, return the maximum between the number of positive integers and the number of negative integers.
- In other words, if the number of positive integers in
nums
ispos
and the number of negative integers isneg
, then return the maximum ofpos
andneg
.
Note that 0
is neither positive nor negative.
Example 1: Input: nums = [-2,-1,-1,1,2,3] Output: 3 Explanation: There are 3 positive integers and 3 negative integers. The maximum count among them is 3.
Example 2: Input: nums = [-3,-2,-1,0,0,1,2] Output: 3 Explanation: There are 2 positive integers and 3 negative integers. The maximum count among them is 3.
Example 3: Input: nums = [5,20,66,1314] Output: 4 Explanation: There are 4 positive integers and 0 negative integers. The maximum count among them is 4.
Constraints:
1 <= nums.length <= 2000
-2000 <= nums[i] <= 2000
nums
is sorted in a non-decreasing order.
Follow up: Can you solve the problem in O(log(n))
time complexity?
Solution
Iterative - O(n) time - O(1) space
class Solution {
public:
int maximumCount(vector<int>& nums) {
int negatives = 0, positives = 0;
for (int i = 0; i < nums.size(); i++) {
if (nums[i] < 0) negatives++;
if (nums[i] > 0) positives++;
}
return max(negatives, positives);
}
};
Binary Search - O(log n) time - O(1) space
class Solution {
public:
int maximumCount(vector<int>& nums) {
int left = 0, n = nums.size(), right = n - 1;
while (left <= right) {
int mid = left + (right - left) / 2;
if (nums[mid] > 0) right = mid - 1;
else left = mid + 1;
}
int positives = n - left;
left = 0, right = n -1;
while (left <= right) {
int mid = left + (right - left) / 2;
if (nums[mid] < 0) left = mid +1;
else right = mid - 1;
}
int negatives = right + 1;
return max(negatives, positives);
}
};