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Description
tab: English
<p>Given an integer array of size <code>n</code>, find all elements that appear more than <code>⌊ n/3 ⌋</code> times.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,3]
<strong>Output:</strong> [3]
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [1]
<strong>Output:</strong> [1]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [1,2]
<strong>Output:</strong> [1,2]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= nums.length <= 5 * 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
</ul>
<p> </p>
<p><strong>Follow up:</strong> Could you solve the problem in linear time and in <code>O(1)</code> space?</p>
> [!tip]- Hint 1
>
> Think about the possible number of elements that can appear more than ⌊ n/3 ⌋ times in the array.
> [!tip]- Hint 2
>
> It can be at most two. Why?
> [!tip]- Hint 3
>
> Consider using Boyer-Moore Voting Algorithm, which is efficient for finding elements that appear more than a certain threshold.
---
[submissions](https://leetcode.com/problems/majority-element-ii/submissions/) | [solutions](https://leetcode.com/problems/majority-element-ii/solutions/)
tab: 中文
<p>给定一个大小为 <em>n </em>的整数数组,找出其中所有出现超过 <code>⌊ n/3 ⌋</code> 次的元素。</p>
<p> </p>
<p><strong>示例 1:</strong></p>
<pre>
<strong>输入:</strong>nums = [3,2,3]
<strong>输出:</strong>[3]</pre>
<p><strong>示例 2:</strong></p>
<pre>
<strong>输入:</strong>nums = [1]
<strong>输出:</strong>[1]
</pre>
<p><strong>示例 3:</strong></p>
<pre>
<strong>输入:</strong>nums = [1,2]
<strong>输出:</strong>[1,2]</pre>
<p> </p>
<p><strong>提示:</strong></p>
<ul>
<li><code>1 <= nums.length <= 5 * 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
</ul>
<p> </p>
<p><strong>进阶:</strong>尝试设计时间复杂度为 O(n)、空间复杂度为 O(1)的算法解决此问题。</p>
> [!tip]- 提示 1
>
> Think about the possible number of elements that can appear more than ⌊ n/3 ⌋ times in the array.
> [!tip]- 提示 2
>
> It can be at most two. Why?
> [!tip]- 提示 3
>
> Consider using Boyer-Moore Voting Algorithm, which is efficient for finding elements that appear more than a certain threshold.
---
[提交记录](https://leetcode.cn/problems/majority-element-ii/submissions/) | [题解](https://leetcode.cn/problems/majority-element-ii/solution/)
Solutions & Notes
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