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Learn how to find the only missing number in an array of distinct numbers in the range [0, n] using O (1) extra space and O (n) runtime. See examples, explanations and code for this real interview question on LeetCode.
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Solution - Missing Number - LeetCode
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Submissions - Missing Number - LeetCode
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Discuss (999+) - Missing Number - LeetCode
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Find All Numbers Disappeared in an Array - Given an array nums of n integers where nums [i] is in the range [1, n], return an array of all the integers in the range [1, n] that do not appear in nums.
Learn how to solve the 268. Missing Number problem of Leetcode using C++ and Python. The problem is to find the only number in the range [0, n] that is missing from an array of n distinct numbers.
- Problem Statement
- Example
- Approach
- Complexity Analysis For Missing Number LeetCode Solution
The Missing Number LeetCode Solution – “Missing Number” states that given an array of size n containing n distinct numbers between [0,n]. We need to return the number which is missingin the range.
Explanation: 1. We can easily observe that all the numbers between [0,3] are present except the number 2. 2. Hence, 2 is the missing numberin the range [0,3]. Explanation: 1. All the numbers except 8, are present in the array for the range [0,9]. 2. Hence, 8 is the missing numberin the range [0,9].
Idea:
1. There are multiple ways to solve this problem efficiently but, here we’ll discuss O(N) time and O(1) Space solution using Bit Manipulation. 2. Let xo be the bitwise xor of all the numbers in the range [0,9] and all the elements of the input array. We can easily observe that all the elements except the missing number(frequency = 1) will have the frequency as 2. 3. Also, we know that the bitwise xor of the number with itself is always zero. So, all elements having a frequency of 2, will yiel...
Time Complexity
The time complexity of the above code is O(n)since we run the loop exactly n times where n = size of the input array.
Space Complexity
The space complexity of the above code is O(1)since we’re using constant space. Reference: https://en.wikipedia.org/wiki/Bit_manipulation
Aug 24, 2016 · By calculating the sum of $[0,..n]$, subtracting the sum of all numbers in the array, we can obtain the missing number. The time complexity is $O(n)$, where $n$ is the length of the array. The space complexity is $O(1)$.
Learn how to find the only number in the range [0, n] that is missing from an array of n distinct numbers. See examples, constraints and code implementation using O(1) extra space and O(n) runtime.
Problem: 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. Example 1: Input: nums = [3,0,1] Output: 2 Explanation: 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.
