Find Lucky Integer in an Array | 3 Approaches | In Place | Leetcode 1394 | codestorywithMIK
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Hi Everyone, this is the 99th video of our Playlist "Leetcode Easy".
Now we will be solving an easy Problem on map and array - Find Lucky Integer in an Array | 3 Approaches | In Place | Leetcode 1394 | codestorywithMIK
I will explain it in full detail so that it becomes easy to understand. We will find the reason behind everything so that we understand why we did what we did.
And we will do a complete dry run.
Problem Name : Find Lucky Integer in an Array | 3 Approaches | In Place | Leetcode 1394 | codestorywithMIK
Company Tags : will update later
Code Github(C++ & JAVA) : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/HashMap/Leetcode Easy/Find Lucky Integer in an Array.cpp
Leetcode Link : https://leetcode.com/problems/find-lucky-integer-in-an-array
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Video Summary :
Approach-1 (Using HashMap to store frequency):
This method counts the frequency of each number in the array using a HashMap. It then iterates through the map to check if any number's frequency equals the number itself, returning the largest such number if found.
Approach-2 (Using fixed size array to store frequency):
Here, a fixed-size array is used to count the frequency of each number (since constraints fit the range). The array is checked in reverse to quickly find and return the largest number whose frequency matches its value.
Approach-3 (Using bits to store frequency, in-place):
This space-efficient method encodes the frequency information directly into the input array using bit manipulation, without extra space. By leveraging higher bits to store frequency, it finds the largest value matching its own count.
✨ Timelines✨
00:00 - Introduction
0:08 - Motivation
0:42 - Problem Explanation
2:06 - Approach-1 Using O(n) space
3:07 - Approach-2 Using Constant Space
5:58 - Approach-3 inplace O(1)
19:04 - Dry Run for Approach-3
37:26 - Coding it up
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