Binary TreesBinary Trees36

  1. 1Preorder Traversal of a Binary Tree using Recursion
  2. 2Preorder Traversal of a Binary Tree using Iteration
  3. 3Postorder Traversal of a Binary Tree Using Recursion
  4. 4Postorder Traversal of a Binary Tree using Iteration
  5. 5Level Order Traversal of a Binary Tree using Recursion
  6. 6Level Order Traversal of a Binary Tree using Iteration
  7. 7Reverse Level Order Traversal of a Binary Tree using Iteration
  8. 8Reverse Level Order Traversal of a Binary Tree using Recursion
  9. 9Find Height of a Binary Tree
  10. 10Find Diameter of a Binary Tree
  11. 11Find Mirror of a Binary Tree - Todo
  12. 12Inorder Traversal of a Binary Tree using Recursion
  13. 13Inorder Traversal of a Binary Tree using Iteration
  14. 14Left View of a Binary Tree
  15. 15Right View of a Binary Tree
  16. 16Top View of a Binary Tree
  17. 17Bottom View of a Binary Tree
  18. 18Zigzag Traversal of a Binary Tree
  19. 19Check if a Binary Tree is Balanced
  20. 20Diagonal Traversal of a Binary Tree
  21. 21Boundary Traversal of a Binary Tree
  22. 22Construct a Binary Tree from a String with Bracket Representation
  23. 23Convert a Binary Tree into a Doubly Linked List
  24. 24Convert a Binary Tree into a Sum Tree
  25. 25Find Minimum Swaps Required to Convert a Binary Tree into a BST
  26. 26Check if a Binary Tree is a Sum Tree
  27. 27Check if All Leaf Nodes are at the Same Level in a Binary Tree
  28. 28Lowest Common Ancestor (LCA) in a Binary Tree
  29. 29Solve the Tree Isomorphism Problem
  30. 30Check if a Binary Tree Contains Duplicate Subtrees of Size 2 or More
  31. 31Check if Two Binary Trees are Mirror Images
  32. 32Calculate the Sum of Nodes on the Longest Path from Root to Leaf in a Binary Tree
  33. 33Print All Paths in a Binary Tree with a Given Sum
  34. 34Find the Distance Between Two Nodes in a Binary Tree
  35. 35Find the kth Ancestor of a Node in a Binary Tree
  36. 36Find All Duplicate Subtrees in a Binary Tree

Check for Duplicate Subtrees in a Binary Tree



Algorithm Steps

  1. Traverse the binary tree in a postorder manner and serialize each subtree into a string representation.
  2. For each node, if the node is not a leaf (i.e. it has at least one child), store its serialized string in a hash map with a frequency count.
  3. If the frequency of any serialized subtree becomes 2 (or more), mark that duplicate has been found.
  4. After processing all nodes, if a duplicate subtree (of size 2 or more) is detected, return true; otherwise, return false.

Code

Python
Java
JavaScript
C
C++
C#
Kotlin
Swift
Go
Php
class TreeNode:
    def __init__(self, val=0, left=None, right=None):
        self.val = val
        self.left = left
        self.right = right


def hasDuplicateSubtrees(root):
    seen = {}
    duplicate = False

    def serialize(node):
        nonlocal duplicate
        if not node:
            return '#'
        left = serialize(node.left)
        right = serialize(node.right)
        subtree = str(node.val) + ',' + left + ',' + right
        # Only consider subtrees of size >= 2 (node with at least one child)
        if node.left or node.right:
            seen[subtree] = seen.get(subtree, 0) + 1
            if seen[subtree] == 2:
                duplicate = True
        return subtree

    serialize(root)
    return duplicate

# Example usage:
if __name__ == '__main__':
    # Construct a sample binary tree:
    #         1
    #        / \
    #       2   3
    #      /   / \
    #     4   2   4
    #        /
    #       4
    root = TreeNode(1, TreeNode(2, TreeNode(4)), TreeNode(3, TreeNode(2, TreeNode(4)), TreeNode(4)))
    print(hasDuplicateSubtrees(root))


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