Number of Good Leaf Nodes Pairs | Simple DFS | Dry Run | Leetcode 1530 | codestorywithMIK
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This is the 48th Video of our Playlist "BINARY TREE : Popular Interview Problems" by codestorywithMIK
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In this video we will try to solve a very good Tree Problem : Number of Good Leaf Nodes Pairs | Simple DFS | Dry Run | Leetcode 1530 | 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 : Number of Good Leaf Nodes Pairs | Simple DFS | Dry Run | Leetcode 1530 | codestorywithMIK
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Summary :
The given C++ code defines a solution to count the number of good leaf node pairs within a given distance in a binary tree. Here is a step-by-step summary of the approach:
Helper Function solve:
The solve function is a recursive helper function that traverses the tree and calculates distances from each node to its leaf nodes.
Base Case: If the current node (root) is NULL, it returns a vector containing a single 0.
Leaf Node: If the current node is a leaf node (no left or right child), it returns a vector containing 1.
Recursive Case: For non-leaf nodes, it recursively calculates distances for the left and right subtrees.
Distance Calculation:
After obtaining distances from the left (left_d) and right (right_d) subtrees, it checks pairs of distances from these lists.
If the sum of any pair of distances is less than or equal to the given distance, it increments the goodLeafNodes counter.
Updating Distances:
The function then constructs a new list of distances (curr_d) for the current node by incrementing each valid distance from the left and right subtrees by 1 (to account for the distance to the current node itself).
Returning Distances:
Finally, the updated list of distances is returned to the caller.
Main Function countPairs:
The countPairs function initializes the goodLeafNodes counter and calls the solve function with the root of the tree.
It returns the total count of good leaf node pairs.
Key Points:
Recursion: The solution leverages recursion to traverse the tree and compute distances.
Distance Lists: At each node, lists of distances to leaf nodes are maintained and updated.
Pairwise Comparison: Pairs of distances from left and right subtrees are compared to determine good leaf node pairs.
Efficiency: The method ensures that only valid distances (within the specified limit) are propagated up the tree to minimize unnecessary calculations.
This approach effectively combines tree traversal and distance computation to solve the problem within the constraints provided.
✨ Timelines✨
00:00 - Introduction
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