Description

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 is pos and the number of negative integers is neg, then return the maximum of pos and neg.

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?

Code

Time Complexity: , Space Complexity:

基本概念同:Binary Search 101

在這題中我們使用 Binary Search 兩次,一次找第一個大於 0 的 index,一次找第一個小於 0 的 index。

edge case 為:全部都是 0 的 case。

class Solution {
public:
    int maximumCount(vector<int>& nums) {
        int l = 0, r = nums.size() - 1;
        while(l < r) {
            int m = l + (r - l) / 2;
            if(nums[m] <= 0) 
                l = m + 1;
            else
                r = m;
        }
        
        int positive = nums[l] == 0 ? 0 : (nums.size() - 1 - l + 1);
 
        l = 0, r = nums.size() - 1;
        while(l < r) {
            int m = (l + r + 1) / 2;
            if(nums[m] >= 0) 
                r = m - 1;
            else
                l = m;
        }
 
        int negative = nums[r] == 0 ? 0 : r + 1;
 
        return max(positive, negative);
    }
};

Source