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

Print All Paths in a Binary Tree with a Given Sum - Code Examples

Problem Statement

Given a binary tree and a target sum, print all root-to-leaf paths where the sum of all node values in the path equals the target sum. Each valid path must begin at the root and end at a leaf node. If there are no such paths, indicate so.

Examples

Input Tree Target Sum Paths Matching Sum Description
[5, 4, 8, 11, null, 13, 4, 7, 2, null, null, 5, 1, 5]
22 [[5, 4, 11, 2], [5, 8, 4, 5]] Two valid root-to-leaf paths sum to 22.
[1, 2, 3]
3 [[1, 2]] Only the left path [1 → 2] adds to 3.
[1, 2]
0 [] No root-to-leaf path adds to 0.
[7, 3, 4, 2, null, null, 1]
12 [[7, 3, 2], [7, 4, 1]] Two root-to-leaf paths match the target sum.
[] 5 [] Empty tree has no paths.
[5]
5 [[5]] Single-node tree where root equals target sum.

Solution

Case 1: Normal Case (Tree with multiple valid paths)

In a typical binary tree with multiple levels, we may find more than one path that leads to a sum equal to the target. For example, in a tree where the root is 5, there could be different branches that sum up to 22, such as one going through 4 → 11 → 2 and another going through 8 → 4 → 5. We perform a depth-first traversal and whenever we reach a leaf, we check the accumulated path sum. If it matches the target, we add that path to our results.

Case 2: Single valid path

There might only be one valid path that matches the target sum. Suppose the tree is very small and has a path like 1 → 2 → 5 and the target is 8. In this case, only one path qualifies. DFS still works here, and it will find that single path.

Case 3: Single-node tree

For a tree that contains only one node, we check if the node’s value is equal to the target sum. If it matches, we return that one-element path. If not, we return an empty list because no path exists from root to a leaf (since it doesn't qualify as a leaf with the correct sum).

Case 4: No valid path

Sometimes, all paths may fail to add up to the required sum. This could be because the sum is too large or too small compared to what the node values allow. In such a case, we exhaust all paths using DFS and find nothing, so we return an empty list.

Case 5: Empty Tree

If the tree is empty (i.e., there is no root node), then there are no paths at all. Hence, the output should be an empty list regardless of the target sum.

Algorithm Steps

  1. Given a binary tree and a target sum, initialize an empty path list and set the current sum to 0.
  2. Perform a depth-first search (DFS) traversal of the tree.
  3. At each node, add the node's value to the current path and update the current sum.
  4. If a leaf node is reached and the current sum equals the target sum, record or print the current path.
  5. Recursively explore the left and right subtrees.
  6. Backtrack by removing the current node from the path before returning to the previous level.

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 printPaths(root, targetSum):
    def dfs(node, currentPath, currentSum):
        if not node:
            return
        currentPath.append(node.val)
        currentSum += node.val
        if not node.left and not node.right and currentSum == targetSum:
            print(currentPath)
        dfs(node.left, currentPath, currentSum)
        dfs(node.right, currentPath, currentSum)
        currentPath.pop()
    dfs(root, [], 0)

if __name__ == '__main__':
    # Construct binary tree example:
    #         5
    #        / \
    #       4   8
    #      /   / \
    #    11   13  4
    #    /  \       \
    #   7    2       1
    root = TreeNode(5,
            TreeNode(4, TreeNode(11, TreeNode(7), TreeNode(2))),
            TreeNode(8, TreeNode(13), TreeNode(4, None, TreeNode(1))))
    printPaths(root, 22)