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.
public class Solution { public int thirdMax(int[] nums) { int first = -1; int second = -1; int third = -1; for(int i = 0; i < nums.length; i++) { if(nums[i] == first || nums[i] == second || nums[i] == third) continue; if(first == -1 || nums[i] > first) { third = second; second = first; first = nums[i]; } else if(second == -1 || nums[i] > second) { third = second; second = nums[i]; } else if(third == -1 || nums[i] > third) { third = nums[i]; } } return third == -1 ? first : third; } }如果数组中有-1出现,刚会出现错误,应该用Integer,默认值为null为表示
public int thirdMax(int[] nums) {
Integer max1 = null;
Integer max2 = null;
Integer max3 = null;
for (Integer n : nums) {
if (n.equals(max1) || n.equals(max2) || n.equals(max3)) continue;
if (max1 == null || n > max1) {
max3 = max2;
max2 = max1;
max1 = n;
} else if (max2 == null || n > max2) {
max3 = max2;
max2 = n;
} else if (max3 == null || n > max3) {
max3 = n;
}
}
return max3 == null ? max1 : max3;
}