Max Sum of a Pair With Equal Sum of Digits | 4 Approaches | Leetcode 2342 | codestorywithMIK
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Hi Everyone, this is the 141st video of our Playlist "Arrays 1D/2D : Popular Interview Problems".
Now we will be solving a good practice problem - Remove All Occurrences of a Substring | 3 Approaches | Leetcode 1910 | codestorywithMIK
Homework - Try solving using KMP Algorithm. I will make a separate video on that in my free time.
Problem Name : Max Sum of a Pair With Equal Sum of Digits | 4 Approaches | Leetcode 2342 | codestorywithMIK
Company Tags : will update later
My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Arrays/Max Sum of a Pair With Equal Sum of Digits.cpp
Leetcode Link : https://leetcode.com/problems/max-sum-of-a-pair-with-equal-sum-of-digits
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Video Summary :
Brute Force
Compare all pairs in the array.
Compute the digit sum for each pair and check if they match.
If they do, update the maximum sum of such pairs.
Optimized using HashMap
Use a HashMap to store the maximum number encountered for each digit sum.
If a matching digit sum exists, compute the possible max pair sum.
Update the map with the highest value for each digit sum.
Optimized using Fixed-Size Array
Since digit sum values are small (max 81), use an array instead of a HashMap.
Follow the same logic as the HashMap approach but with constant space.
Sorting-Based Approach
Maintain a list of pairs (digit sum, number).
Sort the list based on digit sum and process adjacent elements to find the best pair sum.
This ensures efficient pair selection after sorting.
✨ Timelines✨
00:00 - Introduction
00:23 - Motivation
01:08 - Problem Explanation
02:40 - Approach-1 (Brute Force)
05:18 - Approach-2 (Using Map)
12:02 - Coding Approach-1
14:34 - Coding Approach-2
16:17 - Approach-3 (Using Array as Map of fixed size)
20:28 - Coding Approach-3
21:24 - Approach-4
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