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Find All Duplicates in an Array | Clean | Easy | Leetcode 442 | codestorywithMIK
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This is the 87th Video of our Playlist "Arrays 1D/2D : Popular Interview Problems".
In this video we will try to solve an extremely good problem :
Find All Duplicates in an Array | Clean | Easy | Leetcode 442 | codestorywithMIK
I will explain the intuition so easily that you will never forget and start seeing this as cakewalk EASYYY.
We will do live coding after explanation and see if we are able to pass all the test cases.
Also, please note that my Github solution link below contains both C++ as well as JAVA code.
Problem Name : Find All Duplicates in an Array | Clean | Easy | Leetcode 442 | codestorywithMIK
Company Tags : Pocket Gems, Amazon, Meta
Approach Summary :
The given approach is designed to find duplicates in an array of integers efficiently. It works by utilizing the properties of the array itself to mark visited elements.
Here's how the approach works:
1. Iterate through each element of the input array `nums`.
2. For each element `num`, take its absolute value (`abs(nums[i])`) to ensure positive index access.
3. Check if the element at index `num - 1` (assuming 1-based indexing) is negative. If it is negative, it means `num` has been encountered before, so it's a duplicate. In this case, add `num` to the result vector.
4. If the element at index `num - 1` is not negative, mark it as visited by multiplying it by -1 (`nums[num - 1] *= -1`). This indicates that `num` has been encountered.
5. Repeat steps 3-4 for all elements in the array.
6. Return the result vector containing duplicates.
This approach effectively utilizes the sign of the elements in the input array to mark visited elements, making it a space-efficient solution with a time complexity of O(n), where n is the size of the input array.
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✨ Timelines✨
00:00 - Introduction
01:24 - Brute Force 1 and Brute Force 2
02:43 - Optimal Approach
10:33 - Coding it up
#coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge #leetcodequestions #leetcodechallenge #hindi #india #coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge#leetcodequestions #leetcodechallenge #hindi #india #hindiexplanation #hindiexplained #easyexplaination #interview#interviewtips #interviewpreparation #interview_ds_algo #hinglish #github #design #data #google #video #instagram #facebook #leetcode #computerscience #leetcodesolutions #leetcodequestionandanswers #code #learning #dsalgo #dsa #newyear2024
In this video we will try to solve an extremely good problem :
Find All Duplicates in an Array | Clean | Easy | Leetcode 442 | codestorywithMIK
I will explain the intuition so easily that you will never forget and start seeing this as cakewalk EASYYY.
We will do live coding after explanation and see if we are able to pass all the test cases.
Also, please note that my Github solution link below contains both C++ as well as JAVA code.
Problem Name : Find All Duplicates in an Array | Clean | Easy | Leetcode 442 | codestorywithMIK
Company Tags : Pocket Gems, Amazon, Meta
Approach Summary :
The given approach is designed to find duplicates in an array of integers efficiently. It works by utilizing the properties of the array itself to mark visited elements.
Here's how the approach works:
1. Iterate through each element of the input array `nums`.
2. For each element `num`, take its absolute value (`abs(nums[i])`) to ensure positive index access.
3. Check if the element at index `num - 1` (assuming 1-based indexing) is negative. If it is negative, it means `num` has been encountered before, so it's a duplicate. In this case, add `num` to the result vector.
4. If the element at index `num - 1` is not negative, mark it as visited by multiplying it by -1 (`nums[num - 1] *= -1`). This indicates that `num` has been encountered.
5. Repeat steps 3-4 for all elements in the array.
6. Return the result vector containing duplicates.
This approach effectively utilizes the sign of the elements in the input array to mark visited elements, making it a space-efficient solution with a time complexity of O(n), where n is the size of the input array.
╔═╦╗╔╦╗╔═╦═╦╦╦╦╗╔═╗
║╚╣║║║╚╣╚╣╔╣╔╣║╚╣═╣
╠╗║╚╝║║╠╗║╚╣║║║║║═╣
╚═╩══╩═╩═╩═╩╝╚╩═╩═╝
✨ Timelines✨
00:00 - Introduction
01:24 - Brute Force 1 and Brute Force 2
02:43 - Optimal Approach
10:33 - Coding it up
#coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge #leetcodequestions #leetcodechallenge #hindi #india #coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge#leetcodequestions #leetcodechallenge #hindi #india #hindiexplanation #hindiexplained #easyexplaination #interview#interviewtips #interviewpreparation #interview_ds_algo #hinglish #github #design #data #google #video #instagram #facebook #leetcode #computerscience #leetcodesolutions #leetcodequestionandanswers #code #learning #dsalgo #dsa #newyear2024
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