Description
Given a non-empty array of integers, return the third maximum number in this array. If it does not exist, return the maximum number. The time complexity must be in O(n).
Example 1:
Input: [3, 2, 1]
Output: 1
Explanation: The third maximum is 1.
Example 2:
Input: [1, 2]
Output: 2
Explanation: The third maximum does not exist, so the maximum (2) is returned instead.
Example 3:
Input: [2, 2, 3, 1]
Output: 1
Explanation: Note that the third maximum here means the third maximum distinct number.
Both numbers with value 2 are both considered as second maximum.
Solution
Sort, time O(nlogn), space O(1)
class Solution {
public int thirdMax(int[] nums) {
Arrays.sort(nums);
int i = nums.length - 2;
int distinctNumCount = 1;
while (i >= 0) {
if (nums[i] != nums[i + 1] && ++distinctNumCount == 3) {
break;
}
--i;
}
return i >= 0 ? nums[i] : nums[nums.length - 1];
}
}
Count, time O(n), space O(1)
class Solution {
public int thirdMax(int[] nums) {
long max1 = Long.MIN_VALUE; // in case nums include Integer.MIN_VALUE
long max2 = Long.MIN_VALUE;
long max3 = Long.MIN_VALUE;
for (int n : nums) {
if (n == max1 || n == max2 || n == max3) {
continue;
}
if (n > max1) {
max3 = max2;
max2 = max1;
max1 = n;
} else if (n > max2) {
max3 = max2;
max2 = n;
} else if (n > max3) {
max3 = n;
}
}
return max3 != Long.MIN_VALUE ? (int) max3 : (int) max1;
}
}