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

Merge Two Binary Search Trees - Algorithm, Visualization, Examples



Visualization

Algorithm Steps

  1. Given two binary search trees, perform an in-order traversal on each tree to obtain two sorted arrays. Use inorder traversal on each tree.
  2. Merge the two sorted arrays into a single sorted array using a merge operation.
  3. Construct a balanced binary search tree from the merged sorted array using a recursive buildBST or sortedArrayToBST function.
  4. The resulting tree is the merged binary search tree.

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 inorder(root, arr):
    if root:
        inorder(root.left, arr)
        arr.append(root.val)
        inorder(root.right, arr)


def mergeArrays(arr1, arr2):
    i = j = 0
    merged = []
    while i < len(arr1) and j < len(arr2):
        if arr1[i] < arr2[j]:
            merged.append(arr1[i])
            i += 1
        else:
            merged.append(arr2[j])
            j += 1
    merged.extend(arr1[i:])
    merged.extend(arr2[j:])
    return merged


def sortedArrayToBST(nums):
    if not nums:
        return None
    mid = len(nums) // 2
    root = TreeNode(nums[mid])
    root.left = sortedArrayToBST(nums[:mid])
    root.right = sortedArrayToBST(nums[mid+1:])
    return root


def mergeTwoBSTs(root1, root2):
    arr1, arr2 = [], []
    inorder(root1, arr1)
    inorder(root2, arr2)
    merged = mergeArrays(arr1, arr2)
    return sortedArrayToBST(merged)

# Example usage:
if __name__ == '__main__':
    # BST 1:   2
    #         / \
    #        1   3
    root1 = TreeNode(2, TreeNode(1), TreeNode(3))
    
    # BST 2:   7
    #         / \
    #        6   8
    root2 = TreeNode(7, TreeNode(6), TreeNode(8))
    
    mergedRoot = mergeTwoBSTs(root1, root2)
    result = []
    inorder(mergedRoot, result)
    print(result)


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