{ "data": { "question": { "questionId": "268", "questionFrontendId": "268", "categoryTitle": "Algorithms", "boundTopicId": 1343, "title": "Missing Number", "titleSlug": "missing-number", "content": "
Given an array nums
containing n
distinct numbers in the range [0, n]
, return the only number in the range that is missing from the array.
\n
Example 1:
\n\n\nInput: nums = [3,0,1]\nOutput: 2\nExplanation: n = 3 since there are 3 numbers, so all numbers are in the range [0,3]. 2 is the missing number in the range since it does not appear in nums.\n\n\n
Example 2:
\n\n\nInput: nums = [0,1]\nOutput: 2\nExplanation: n = 2 since there are 2 numbers, so all numbers are in the range [0,2]. 2 is the missing number in the range since it does not appear in nums.\n\n\n
Example 3:
\n\n\nInput: nums = [9,6,4,2,3,5,7,0,1]\nOutput: 8\nExplanation: n = 9 since there are 9 numbers, so all numbers are in the range [0,9]. 8 is the missing number in the range since it does not appear in nums.\n\n\n
\n
Constraints:
\n\nn == nums.length
1 <= n <= 104
0 <= nums[i] <= n
nums
are unique.\n
Follow up: Could you implement a solution using only O(1)
extra space complexity and O(n)
runtime complexity?
给定一个包含 [0, n]
中 n
个数的数组 nums
,找出 [0, n]
这个范围内没有出现在数组中的那个数。
\n\n
示例 1:
\n\n\n输入:nums = [3,0,1]\n输出:2\n解释:n = 3,因为有 3 个数字,所以所有的数字都在范围 [0,3] 内。2 是丢失的数字,因为它没有出现在 nums 中。\n\n
示例 2:
\n\n\n输入:nums = [0,1]\n输出:2\n解释:n = 2,因为有 2 个数字,所以所有的数字都在范围 [0,2] 内。2 是丢失的数字,因为它没有出现在 nums 中。\n\n
示例 3:
\n\n\n输入:nums = [9,6,4,2,3,5,7,0,1]\n输出:8\n解释:n = 9,因为有 9 个数字,所以所有的数字都在范围 [0,9] 内。8 是丢失的数字,因为它没有出现在 nums 中。\n\n
示例 4:
\n\n\n输入:nums = [0]\n输出:1\n解释:n = 1,因为有 1 个数字,所以所有的数字都在范围 [0,1] 内。1 是丢失的数字,因为它没有出现在 nums 中。\n\n
\n\n
提示:
\n\nn == nums.length
1 <= n <= 104
0 <= nums[i] <= n
nums
中的所有数字都 独一无二\n\n
进阶:你能否实现线性时间复杂度、仅使用额外常数空间的算法解决此问题?
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