Maximum Candies Allocated to K Children | Brute Force | Optimal | Leetcode 2226 | codestorywithMIK

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Published on March 14, 2025 2:10:49 AM ● Video Link: https://www.youtube.com/watch?v=9UxjDEBt8Vg

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Brute Force (2003)

Duration: 0:00

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Hi Everyone, this is the 37th video of our Playlist "Binary Search: Popular Interview Problems".
Now we will be solving a very a good problem based on Binary Search on Answer -
Maximum Candies Allocated to K Children | Brute Force | Optimal | Leetcode 2226 | codestorywithMIK

We will start from Brute Force to see the importance of it and will deduce the optimal approach from the brute force observation.

Problem Name : Maximum Candies Allocated to K Children | Brute Force | Optimal | Leetcode 2226 | codestorywithMIK
Company Tags : will update later
My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Arrays/Binary Search/Maximum Candies Allocated to K Children.cpp
Leetcode Link : https://leetcode.com/problems/maximum-candies-allocated-to-k-children


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Video Summary :
Approach-1 (Brute Force):
This method iterates from the maximum candy value down to 1, checking how many children can receive at least that many candies. It stops when it finds the maximum possible candies each child can get while distributing all candies.

Approach-2 (Binary Search on Answer):
This method uses binary search to efficiently determine the maximum number of candies each child can receive. It checks if a given mid-value can be distributed among all children and adjusts the search range accordingly.


✨ Timelines✨
00:00 - Introduction
0:21 - Motivation
0:38 - Problem Explanation
3:09 - Pyara Comment and importance of Brute Force
4:06 - Brute Force Explanation
12:03 - Coding Brute Force
15:39 - How to come to Optimal Approach ?
23:16 - Coding Optimal Approach
26:57 - Time & Space Complexity

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