leetcode414. Third Maximum Number
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414. Third Maximum Number
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: 1Explanation: The third maximum is 1.Example 2:Input: [1, 2]Output: 2Explanation: 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.
解法一
维护3个数,max1,max2,max3,分别存放前3大数,为什么不取int max1 = Integer.Integer.MIN_VALUE,因为
if (max3 > Integer.MIN_VALUE) {
return max3;
}
如果数组中有3个数{0,1,Integer.MIN_VALUE},即不通过。
public class Solution { public int thirdMax(int[] nums) { if (nums == null || nums.length == 0) { return -1; } Integer max1 = null; Integer max2 = null; Integer max3 = null; for (Integer num : nums) { if (num.equals(max1) || num.equals(max2) || num.equals(max3)) continue; if (max1 == null || num > max1) { max3 = max2; max2 = max1; max1 = num; } else if (max2 == null || num > max2) { max3 = max2; max2 = num; } else if (max3 == null || num > max3) { max3 = num; } } if (max3 != null) { return max3; } return max1; }}
解法二
利用优先队列和set,优先队列只保留3位,所有peek元素就是第3大元素。如果队列的长度小于3,队列中只保留1位元素,即最大的元素。
public class Solution { public int thirdMax(int[] nums) { if (nums == null || nums.length == 0) { return -1; } PriorityQueue<Integer> pq = new PriorityQueue<>(); Set<Integer> set = new HashSet<>(); for (int num : nums) { if (!set.contains(num)) { pq.offer(num); set.add(num); if (pq.size() > 3) { set.remove(pq.poll()); } } } if (pq.size() < 3) { while (pq.size() > 1) { pq.poll(); } } return pq.peek(); }}
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