Maximum Erasure Value | 2 Approaches | Leetcode 1695 | codestorywithMIK
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Hi Everyone, this is the 43rd video of our Playlist "Sliding Window : Popular Interview Problems".
Now we will be solving a good Sliding Window Problem - Maximum Erasure Value | 2 Approaches | Leetcode 1695 | 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 : Maximum Erasure Value | 2 Approaches | Leetcode 1695 | codestorywithMIK
Company Tags : will update later
Code Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Arrays/Sliding Window/Maximum Erasure Value.cpp
Leetcode Link - https://leetcode.com/problems/maximum-erasure-value/description/
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Video Summary :
Approach 1 (Sliding Window):
Uses a sliding window delimited by two pointers i and j.
Keeps track of elements in current window using a hashset.
Moves j to expand window, moves i to contract if duplicate found.
Approach 2 (Cumulative Sum):
Computes cumulative sum array.
Uses map to track last index of each num.
Finds sum of subarrays using cumulative sum.
Moves l to maximize unique subarray sum.
✨ Timelines✨
00:00 - Introduction
0:09 - Motivation
0:53 - Problem Explanation
2:28 - Thought Process - Approach-1
5:03 - Dry Run Approach-1
10:23 - Coding Approach-1
13:10 - Thought Process - Approach-2
16:35 - Dry Run Approach-1
23:22 - Important Example Dry Run
29:45 - Coding Approach-1
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