Rearranging Fruits | Detailed Explanation | Minute Details | Leetcode 2561 | codestorywithMIK

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nth_element short video -    • Find the K-th Largest or Smallest in O(n) ...  

Hi Everyone, this is the 47th video of our Playlist "Greedy Technique : Popular Interview Problems".
Now we will be solving a good Greedy and hashmap based problem - Rearranging Fruits | Detailed Explanation | Minute Details | Leetcode 2561 | codestorywithMIK

I will explain it in full detail so that it becomes easy to understand. Each line will be explained and you will know the WHY behind everything.

Problem Name : Rearranging Fruits | Detailed Explanation | Minute Details | Leetcode 2561 | codestorywithMIK
Company Tags : will update later
Code Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Greedy/Rearranging Fruits.cpp
Leetcode Link - https://leetcode.com/problems/rearranging-fruits/description/


My DP Concepts Playlist :    • Roadmap for DP | How to Start DP ? | Topic...  
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Video Summary :
The approach used in this solution involves balancing two fruit baskets represented as integer arrays. Initially, the algorithm counts the occurrences of each fruit type in both baskets using a hash map, while simultaneously tracking the minimum fruit type to optimize potential costs. By checking if the counts of each fruit type can be evenly paired (indicating equal exchanges), the algorithm populates a list with the costs of the unbalanced fruits. Finally, it calculates the minimum cost to balance the baskets by summing the minimum values among the unbalanced fruits, comparing them to double the minimum fruit type. This ensures efficient balancing while minimizing costs.


✨ Timelines✨
00:00 - Introduction
0:41 - Motivation
1:07 - Problem Explanation
3:21 - Thought Process
20:14 - Why Sorting ?
27:11 - Most important Observation
31:44 - Story Points
34:44 - Coding it up
38:58 - using nth_element in C++

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