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Description
tab: English
<p>Given an integer array <code>nums</code>, return <em>an array</em> <code>answer</code> <em>such that</em> <code>answer[i]</code> <em>is equal to the product of all the elements of</em> <code>nums</code> <em>except</em> <code>nums[i]</code>.</p>
<p>The product of any prefix or suffix of <code>nums</code> is <strong>guaranteed</strong> to fit in a <strong>32-bit</strong> integer.</p>
<p>You must write an algorithm that runs in <code>O(n)</code> time and without using the division operation.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre><strong>Input:</strong> nums = [1,2,3,4]
<strong>Output:</strong> [24,12,8,6]
</pre><p><strong class="example">Example 2:</strong></p>
<pre><strong>Input:</strong> nums = [-1,1,0,-3,3]
<strong>Output:</strong> [0,0,9,0,0]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>5</sup></code></li>
<li><code>-30 <= nums[i] <= 30</code></li>
<li>The input is generated such that <code>answer[i]</code> is <strong>guaranteed</strong> to fit in a <strong>32-bit</strong> integer.</li>
</ul>
<p> </p>
<p><strong>Follow up:</strong> Can you solve the problem in <code>O(1)</code> extra space complexity? (The output array <strong>does not</strong> count as extra space for space complexity analysis.)</p>
> [!tip]- Hint 1
>
> Think how you can efficiently utilize prefix and suffix products to calculate the product of all elements except self for each index. Can you pre-compute the prefix and suffix products in linear time to avoid redundant calculations?
> [!tip]- Hint 2
>
> Can you minimize additional space usage by reusing memory or modifying the input array to store intermediate results?
---
[submissions](https://leetcode.com/problems/product-of-array-except-self/submissions/) | [solutions](https://leetcode.com/problems/product-of-array-except-self/solutions/)
tab: 中文
<p>给你一个整数数组 <code>nums</code>,返回 数组 <code>answer</code> ,其中 <code>answer[i]</code> 等于 <code>nums</code> 中除 <code>nums[i]</code> 之外其余各元素的乘积 。</p>
<p>题目数据 <strong>保证</strong> 数组 <code>nums</code>之中任意元素的全部前缀元素和后缀的乘积都在 <strong>32 位</strong> 整数范围内。</p>
<p>请 <strong>不要使用除法,</strong>且在 <code>O(n)</code> 时间复杂度内完成此题。</p>
<p> </p>
<p><strong>示例 1:</strong></p>
<pre>
<strong>输入:</strong> nums = <code>[1,2,3,4]</code>
<strong>输出:</strong> <code>[24,12,8,6]</code>
</pre>
<p><strong>示例 2:</strong></p>
<pre>
<strong>输入:</strong> nums = [-1,1,0,-3,3]
<strong>输出:</strong> [0,0,9,0,0]
</pre>
<p> </p>
<p><strong>提示:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>5</sup></code></li>
<li><code>-30 <= nums[i] <= 30</code></li>
<li>输入 <strong>保证</strong> 数组 <code>answer[i]</code> 在 <strong>32 位</strong> 整数范围内</li>
</ul>
<p> </p>
<p><strong>进阶:</strong>你可以在 <code>O(1)</code> 的额外空间复杂度内完成这个题目吗?( 出于对空间复杂度分析的目的,输出数组 <strong>不被视为 </strong>额外空间。)</p>
> [!tip]- 提示 1
>
> Think how you can efficiently utilize prefix and suffix products to calculate the product of all elements except self for each index. Can you pre-compute the prefix and suffix products in linear time to avoid redundant calculations?
> [!tip]- 提示 2
>
> Can you minimize additional space usage by reusing memory or modifying the input array to store intermediate results?
---
[提交记录](https://leetcode.cn/problems/product-of-array-except-self/submissions/) | [题解](https://leetcode.cn/problems/product-of-array-except-self/solution/)
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