12. Duplicate subtree in Binary Tree

The problem can be found at the following link: Question Link

My Approach

To check if a binary tree contains a duplicate subtree of size 2 or more. It does so by checking if there are any identical subtrees within the tree.

Here are the steps in my approach:

  • The dupSub function does a level-order traversal of the binary tree using a queue to extract all the nodes.

  • While traversing the tree, it identifies non-leaf nodes and stores them in the nodes vector.

  • After collecting non-leaf nodes, it iterates through the nodes vector and compares each pair of nodes using the same function to check if they have the same structure and values. If a match is found, it returns true, indicating the presence of a duplicate subtree.

  • If no duplicate subtree is found during the iteration, it returns false.

Time and Auxiliary Space Complexity

  • Time Complexity: The time complexity of this approach is O(N), where N is the number of nodes in the binary tree. This is because we visit each node once to calculate its height and check the balance condition.

  • Space Complexity: The space complexity is O(H), where H is the height of the binary tree. In the worst case, the space complexity is O(N + H) for a skewed tree, and in the best case, it is O(N) for a balanced tree. This space is used for the recursive call stack.

Code (C++)

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