Longest Happy String | Simple Thought Process | Leetcode 1405 | codestorywithMIK
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This is the 22nd Video of our Playlist "Heap (Priority Queue): Popular Interview Problems" by codestorywithMIK
In this video we will try to solve a standard Heap based Problem : Longest Happy String | Simple Thought Process | Leetcode 1405 | codestorywithMIK
I will do the complete dry run as well which will help you visualize how the algorithm works.
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 : Longest Happy String | Simple Thought Process | Leetcode 1405 | codestorywithMIK
Company Tags : will update
My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Heap/Longest Happy String.cpp
Leetcode Link : https://leetcode.com/problems/longest-happy-string
My DP Concepts Playlist : • Roadmap for DP | How to Start DP ? | ...
My Graph Concepts Playlist : • Graph Concepts & Qns - 1 : Graph will...
My Recursion Concepts Playlist : • Introduction | Recursion Concepts And...
My GitHub Repo for interview preparation : https://github.com/MAZHARMIK/Interview_DS_Algo
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Summary :
The approach uses a max-heap (priority queue) to construct the longest diverse string by always selecting the character with the highest frequency. The goal is to avoid having more than two consecutive occurrences of the same character. After selecting the character, the algorithm checks if the last two characters in the result are identical to the current one. If they are, it picks the next most frequent character instead. The selected character's frequency is reduced and reinserted into the heap if it's still greater than zero. This process ensures a balanced and valid string until no more characters can be added.
✨ Timelines✨
00:00 - Introduction
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