First Missing Positive | In Depth Intuition | Clean Code | Leetcode 41 | codestorywithMIK

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iPad PDF Notes - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/iPad%20PDF%20Notes/Leetcode-41-First%20Missing%20Positive.pdf
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This is the 88th Video of our Playlist "Arrays 1D/2D : Popular Interview Problems".

In this video we will try to solve an extremely good problem :
First Missing Positive | In Depth Intuition | Clean Code | Leetcode 41 | 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 : First Missing Positive | In Depth Intuition | Clean Code | Leetcode 41 | codestorywithMIK
Company Tags : META
My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Arrays/First%20Missing%20Positive.cpp
Leetcode Link : https://leetcode.com/problems/first-missing-positive/description/


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Approach Summary :
The provided solution efficiently addresses the problem of finding the smallest missing positive integer within an array. It does so by iteratively manipulating the array elements to ensure that only relevant positive integers are considered. By first identifying whether the number 1 exists in the array and subsequently adjusting non-positive integers and those exceeding the array size, the solution streamlines the search process. It then employs a clever hashing technique, utilizing the array indices and negation to mark the presence of integers from 1 to n. Finally, by iterating through the modified array, the algorithm swiftly identifies the first positive value, representing the smallest missing positive integer. This approach guarantees a linear time complexity, making it both effective and efficient for solving the problem at hand.

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✨ Timelines✨
00:00 - Introduction

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