Binary TreesBinary Trees36
  1. 1Preorder Traversal of a Binary Tree using Recursion
  2. 2Preorder Traversal of a Binary Tree using Iteration
  3. 3Inorder Traversal of a Binary Tree using Recursion
  4. 4Inorder Traversal of a Binary Tree using Iteration
  5. 5Postorder Traversal of a Binary Tree Using Recursion
  6. 6Postorder Traversal of a Binary Tree using Iteration
  7. 7Level Order Traversal of a Binary Tree using Recursion
  8. 8Level Order Traversal of a Binary Tree using Iteration
  9. 9Reverse Level Order Traversal of a Binary Tree using Iteration
  10. 10Reverse Level Order Traversal of a Binary Tree using Recursion
  11. 11Find Height of a Binary Tree
  12. 12Find Diameter of a Binary Tree
  13. 13Find Mirror of a Binary Tree
  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
GraphsGraphs46
  1. 1Breadth-First Search in Graphs
  2. 2Depth-First Search in Graphs
  3. 3Number of Provinces in an Undirected Graph
  4. 4Connected Components in a Matrix
  5. 5Rotten Oranges Problem - BFS in Matrix
  6. 6Flood Fill Algorithm - Graph Based
  7. 7Detect Cycle in an Undirected Graph using DFS
  8. 8Detect Cycle in an Undirected Graph using BFS
  9. 9Distance of Nearest Cell Having 1 - Grid BFS
  10. 10Surrounded Regions in Matrix using Graph Traversal
  11. 11Number of Enclaves in Grid
  12. 12Word Ladder - Shortest Transformation using Graph
  13. 13Word Ladder II - All Shortest Transformation Sequences
  14. 14Number of Distinct Islands using DFS
  15. 15Check if a Graph is Bipartite using DFS
  16. 16Topological Sort Using DFS
  17. 17Topological Sort using Kahn's Algorithm
  18. 18Cycle Detection in Directed Graph using BFS
  19. 19Course Schedule - Task Ordering with Prerequisites
  20. 20Course Schedule 2 - Task Ordering Using Topological Sort
  21. 21Find Eventual Safe States in a Directed Graph
  22. 22Alien Dictionary Character Order
  23. 23Shortest Path in Undirected Graph with Unit Distance
  24. 24Shortest Path in DAG using Topological Sort
  25. 25Dijkstra's Algorithm Using Set - Shortest Path in Graph
  26. 26Dijkstra’s Algorithm Using Priority Queue
  27. 27Shortest Distance in a Binary Maze using BFS
  28. 28Path With Minimum Effort in Grid using Graphs
  29. 29Cheapest Flights Within K Stops - Graph Problem
  30. 30Number of Ways to Reach Destination in Shortest Time - Graph Problem
  31. 31Minimum Multiplications to Reach End - Graph BFS
  32. 32Bellman-Ford Algorithm for Shortest Paths
  33. 33Floyd Warshall Algorithm for All-Pairs Shortest Path
  34. 34Find the City With the Fewest Reachable Neighbours
  35. 35Minimum Spanning Tree in Graphs
  36. 36Prim's Algorithm for Minimum Spanning Tree
  37. 37Disjoint Set (Union-Find) with Union by Rank and Path Compression
  38. 38Kruskal's Algorithm - Minimum Spanning Tree
  39. 39Minimum Operations to Make Network Connected
  40. 40Most Stones Removed with Same Row or Column
  41. 41Accounts Merge Problem using Disjoint Set Union
  42. 42Number of Islands II - Online Queries using DSU
  43. 43Making a Large Island Using DSU
  44. 44Bridges in Graph using Tarjan's Algorithm
  45. 45Articulation Points in Graphs
  46. 46Strongly Connected Components using Kosaraju's Algorithm

Convert a Binary Tree into a Doubly Linked List - Algorithm & Code Examples

Problem Statement

Given a binary tree, convert it into a doubly linked list (DLL) in-place. The nodes should be arranged in the same order as an in-order traversal of the binary tree. Each node's left pointer should point to the previous node in the DLL, and the right pointer should point to the next node.

Examples

Input Tree Level Order Output Description
[10, 12, 15, 25, 30, 36]
[[10], [12, 15], [25, 30, 36]] Standard binary tree; in-order traversal yields DLL: 25 ⇄ 12 ⇄ 30 ⇄ 10 ⇄ 36 ⇄ 15
[1]
[[1]] Single-node tree; DLL is just: 1
[] [] Empty tree; DLL does not exist
[4, 3, null, 2, null, 1]
[[4], [3], [2], [1]] Left-skewed tree; DLL follows in-order: 1 ⇄ 2 ⇄ 3 ⇄ 4
[5, null, 6, null, 7, null, 8]
[[5], [6], [7], [8]] Right-skewed tree; DLL is 5 ⇄ 6 ⇄ 7 ⇄ 8

Solution

Case 1: Normal Binary Tree

In a typical binary tree with both left and right children, such as one with nodes [10, 5, 15], we perform an in-order traversal: left subtree (5), root (10), right subtree (15). Each visited node is linked to the previous one using the left and right pointers to create the doubly linked list. The resulting list becomes 5 <-> 10 <-> 15.

Case 2: Single Node Tree

If the tree contains only one node (e.g., [10]), that node itself becomes the doubly linked list. Since there are no left or right children, both pointers remain null. So, the list is just 10.

Case 3: Empty Tree

If the input tree is empty (null or empty array), there’s nothing to convert. Therefore, the output should also be null.

Case 4: Right Skewed Tree

In this structure, each node only has a right child, such as [10, null, 20, null, 30]. The in-order traversal here simply visits each node in sequence from top to bottom: 10 → 20 → 30. The doubly linked list will also reflect this same order: 10 <-> 20 <-> 30.

Case 5: Left Skewed Tree

For a tree where each node only has a left child, like [30, 20, null, 10, null], the traversal goes from bottom to top (leftmost to root): 10 → 20 → 30. The doubly linked list follows this ascending order: 10 <-> 20 <-> 30.

Algorithm Steps

  1. If the binary tree is empty, return null.
  2. Recursively convert the left subtree into a doubly linked list.
  3. Recursively convert the right subtree into a doubly linked list.
  4. Make the root node a standalone doubly linked list node by setting its left and right pointers to null.
  5. If a left list exists, find its rightmost (tail) node and link it with the root: set tail.right = root and root.left = tail.
  6. If a right list exists, link the root with the head of the right list: set root.right = rightList and rightList.left = root.
  7. Return the head of the combined doubly linked list (the head of the left list if it exists, otherwise the root).

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 treeToDLL(root):
    if not root:
        return None
    # Recursively convert left and right subtrees
    leftList = treeToDLL(root.left)
    rightList = treeToDLL(root.right)
    # Make root a standalone DLL node
    root.left = root.right = None
    # Attach left list to root
    if leftList:
        tail = leftList
        while tail.right:
            tail = tail.right
        tail.right = root
        root.left = tail
    else:
        leftList = root
    # Attach right list to root
    if rightList:
        root.right = rightList
        rightList.left = root
    return leftList

# Example usage:
if __name__ == '__main__':
    # Construct a sample binary tree
    #         1
    #        / \
    #       2   3
    #      /   / \
    #     4   5   6
    root = TreeNode(1, TreeNode(2, TreeNode(4)), TreeNode(3, TreeNode(5), TreeNode(6)))
    dllHead = treeToDLL(root)
    # Print the doubly linked list from left to right
    curr = dllHead
    while curr:
        print(curr.val, end=' <-> ' if curr.right else '\n')
        curr = curr.right