Cousins in Binary Tree II | 2 Detailed Approaches | Dry Run | Leetcode 2641 | codestorywithMIK

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This is the 50th Video of our Playlist "Binary Tree : Popular Interview Problems" by codestorywithMIK

In this video we will try to solve a good Binary Tree Problem : Cousins in Binary Tree II | 2 Detailed Approaches | Dry Run | Leetcode 2641 | codestorywithMIK

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 : Cousins in Binary Tree II | 2 Detailed Approaches | Dry Run | Leetcode 2641 | codestorywithMIK
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My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Intervie...
Leetcode Link : https://leetcode.com/problems/cousins...


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Summary :
Approach 1 (First Code):

Goal: Replace each node's value with the sum of all cousin nodes.
Steps:
Traverse the tree level by level using a queue (BFS).
Calculate the sum of node values at each level and store it in a levelSum list.
For each node at a given level, update its value to be the difference between the sum of the current level and the sum of its sibling nodes.
Update the node values and move to the next level.
Efficiency: This approach computes the sum of node values for each level before updating the node values. It requires an additional array (levelSum) to store sums for each level.
Approach 2 (Second Code):

Goal: Replace each node's value directly with the sum of its sibling nodes.
Steps:
Traverse the tree level by level using a queue (BFS).
For each node, subtract its current value from the total sum of the current level (levelSum), and update its value.
Calculate the sibling sum for each node's children and store it in those nodes.
Compute the sum of the next level's values (nextLevelSum) while processing the current level, then update levelSum to nextLevelSum for the next iteration.
Efficiency: This approach updates the node values directly while traversing the tree, without needing an additional array for storing level sums. It updates the node values on-the-fly, making it slightly more space-efficient than the first approach.

✨ Timelines✨
00:00 - Introduction

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