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:
class Solution {
public int thirdMax(int[] nums) {
Integer max1 = null;
Integer max2 = null;
Integer max3 = null;
//注意不同元素
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;
}
}
Best Solution:
class Solution {
public int thirdMax(int[] nums) {
long first = Long.MIN_VALUE;
long second =Long.MIN_VALUE;
long third = Long.MIN_VALUE;
for(int i = 0; i< nums.length; i++)
{
if(nums[i] > first)
{
third = second;
second = first;
first = nums[i];
}else if(nums[i] > second && nums[i] < first)
{
third = second;
second = nums[i];
}else if( nums[i] > third && nums[i] < second)
{
third = nums[i];
}
}
return third == Long.MIN_VALUE ? (int)first : (int)third;
}
}
总结:设置3个数,遍历数组划分数据,需要注意的是每次添加的是不同的数据。