Given a binary tree, print all its root to leaf paths without using recursion. For example, consider the following Binary Tree.
6 / 3 5 / 2 5 4 / 7 4 There are 4 leaves, hence 4 root to leaf paths - 6->3->2 6->3->5->7 6->3->5->4 6->5>4
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We can traverse tree iteratively (we have used iterative preorder). The question is, how to extend the traversal to print root to leaf paths? The idea is to maintain a map to store parent pointers of binary tree nodes. Now whenever we encounter a leaf node while doing iterative preorder traversal, we can easily print root to leaf path using parent pointer. Below is implementation of this idea.
C++
// C++ program to Print root to leaf path WITHOUT // using recursion #include <bits/stdc++.h> using namespace std; /* A binary tree */ struct Node { int data; struct Node *left, *right; }; /* Helper function that allocates a new node with the given data and NULL left and right pointers.*/ Node* newNode( int data) { Node* node = new Node; node->data = data; node->left = node->right = NULL; return node; } /* Function to print root to leaf path for a leaf using parent nodes stored in map */ void printTopToBottomPath(Node* curr, map<Node*, Node*> parent) { stack<Node*> stk; // start from leaf node and keep on pushing // nodes into stack till root node is reached while (curr) { stk.push(curr); curr = parent[curr]; } // Start popping nodes from stack and print them while (!stk.empty()) { curr = stk.top(); stk.pop(); cout << curr->data << " " ; } cout << endl; } /* An iterative function to do preorder traversal of binary tree and print root to leaf path without using recursion */ void printRootToLeaf(Node* root) { // Corner Case if (root == NULL) return ; // Create an empty stack and push root to it stack<Node*> nodeStack; nodeStack.push(root); // Create a map to store parent pointers of binary // tree nodes map<Node*, Node*> parent; // parent of root is NULL parent[root] = NULL; /* Pop all items one by one. Do following for every popped item a) push its right child and set its parent pointer b) push its left child and set its parent pointer Note that right child is pushed first so that left is processed first */ while (!nodeStack.empty()) { // Pop the top item from stack Node* current = nodeStack.top(); nodeStack.pop(); // If leaf node encountered, print Top To // Bottom path if (!(current->left) && !(current->right)) printTopToBottomPath(current, parent); // Push right & left children of the popped node // to stack. Also set their parent pointer in // the map if (current->right) { parent[current->right] = current; nodeStack.push(current->right); } if (current->left) { parent[current->left] = current; nodeStack.push(current->left); } } } // Driver program to test above functions int main() { /* Constructed binary tree is 10 / 8 2 / / 3 5 2 */ Node* root = newNode(10); root->left = newNode(8); root->right = newNode(2); root->left->left = newNode(3); root->left->right = newNode(5); root->right->left = newNode(2); printRootToLeaf(root); return 0; } |
Java
// Java program to Print root to leaf path WITHOUT // using recursion import java.util.Stack; import java.util.HashMap; public class PrintPath { /* Function to print root to leaf path for a leaf using parent nodes stored in map */ public static void printTopToBottomPath(Node curr, HashMap<Node,Node> parent) { Stack<Node> stk= new Stack<>() ; // start from leaf node and keep on pushing // nodes into stack till root node is reached while (curr!= null ) { stk.push(curr); curr = parent.get(curr); } // Start popping nodes from stack and print them while (!stk.isEmpty()) { curr = stk.pop(); System.out.print(curr.data+ " " ); } System.out.println(); } /* An iterative function to do preorder traversal of binary tree and print root to leaf path without using recursion */ public static void printRootToLeaf(Node root) { // Corner Case if (root == null ) return ; // Create an empty stack and push root to it Stack<Node> nodeStack= new Stack<>(); nodeStack.push(root); // Create a map to store parent pointers of binary // tree nodes HashMap<Node,Node> parent= new HashMap<>(); // parent of root is NULL parent.put(root, null ); /* Pop all items one by one. Do following for every popped item a) push its right child and set its parent pointer b) push its left child and set its parent pointer Note that right child is pushed first so that left is processed first */ while (!nodeStack.isEmpty()) { // Pop the top item from stack Node current = nodeStack.pop(); // If leaf node encountered, print Top To // Bottom path if (current.left== null && current.right== null ) printTopToBottomPath(current, parent); // Push right & left children of the popped node // to stack. Also set their parent pointer in // the map if (current.right!= null ) { parent.put(current.right,current); nodeStack.push(current.right); } if (current.left!= null ) { parent.put(current.left,current); nodeStack.push(current.left); } } } public static void main(String args[]) { Node root= new Node( 10 ); root.left = new Node( 8 ); root.right = new Node( 2 ); root.left.left = new Node( 3 ); root.left.right = new Node( 5 ); root.right.left = new Node( 2 ); printRootToLeaf(root); } } /* A binary tree node */ class Node { int data; Node left, right; Node( int data) { left=right= null ; this .data=data; } }; //This code is contributed by Gaurav Tiwari |
Python3
# Python3 program to Print root to # leaf path without using recursion # Helper function that allocates a new # node with the given data and None left # and right pointers. class newNode: def __init__( self , data): self .data = data self .left = self .right = None # Function to print root to leaf path for a # leaf using parent nodes stored in map def printTopToBottomPath(curr, parent): stk = [] # start from leaf node and keep on appending # nodes into stack till root node is reached while (curr): stk.append(curr) curr = parent[curr] # Start popping nodes from stack # and print them while len (stk) ! = 0 : curr = stk[ - 1 ] stk.pop( - 1 ) print (curr.data, end = " " ) print () # An iterative function to do preorder # traversal of binary tree and print # root to leaf path without using recursion def printRootToLeaf(root): # Corner Case if (root = = None ): return # Create an empty stack and # append root to it nodeStack = [] nodeStack.append(root) # Create a map to store parent # pointers of binary tree nodes parent = {} # parent of root is None parent[root] = None # Pop all items one by one. Do following # for every popped item # a) append its right child and set its # parent pointer # b) append its left child and set its # parent pointer # Note that right child is appended first # so that left is processed first while len (nodeStack) ! = 0 : # Pop the top item from stack current = nodeStack[ - 1 ] nodeStack.pop( - 1 ) # If leaf node encountered, print # Top To Bottom path if ( not (current.left) and not (current.right)): printTopToBottomPath(current, parent) # append right & left children of the # popped node to stack. Also set their # parent pointer in the map if (current.right): parent[current.right] = current nodeStack.append(current.right) if (current.left): parent[current.left] = current nodeStack.append(current.left) # Driver Code if __name__ = = '__main__' : # Constructed binary tree is # 10 # / # 8 2 # / / # 3 5 2 root = newNode( 10 ) root.left = newNode( 8 ) root.right = newNode( 2 ) root.left.left = newNode( 3 ) root.left.right = newNode( 5 ) root.right.left = newNode( 2 ) printRootToLeaf(root) # This code is contributed by PranchalK |
C#
// C# program to Print root to leaf path WITHOUT // using recursion using System; using System.Collections.Generic; public class PrintPath { /* Function to print root to leaf path for a leaf using parent nodes stored in map */ public static void printTopToBottomPath(Node curr, Dictionary<Node,Node> parent) { Stack<Node> stk = new Stack<Node>() ; // start from leaf node and keep on pushing // nodes into stack till root node is reached while (curr != null ) { stk.Push(curr); curr = parent[curr]; } // Start popping nodes from stack and print them while (stk.Count != 0) { curr = stk.Pop(); Console.Write(curr.data + " " ); } Console.WriteLine(); } /* An iterative function to do preorder traversal of binary tree and print root to leaf path without using recursion */ public static void printRootToLeaf(Node root) { // Corner Case if (root == null ) return ; // Create an empty stack and push root to it Stack<Node> nodeStack = new Stack<Node>(); nodeStack.Push(root); // Create a map to store parent // pointers of binary tree nodes Dictionary<Node,Node> parent = new Dictionary<Node,Node>(); // parent of root is NULL parent.Add(root, null ); /* Pop all items one by one. Do following for every popped item a) push its right child and set its parent pointer b) push its left child and set its parent pointer Note that right child is pushed first so that left is processed first */ while (nodeStack.Count != 0) { // Pop the top item from stack Node current = nodeStack.Pop(); // If leaf node encountered, print Top To // Bottom path if (current.left == null && current.right == null ) printTopToBottomPath(current, parent); // Push right & left children of the popped node // to stack. Also set their parent pointer in // the map if (current.right != null ) { parent.Add(current.right,current); nodeStack.Push(current.right); } if (current.left != null ) { parent.Add(current.left,current); nodeStack.Push(current.left); } } } // Driver code public static void Main(String []args) { Node root = new Node(10); root.left = new Node(8); root.right = new Node(2); root.left.left = new Node(3); root.left.right = new Node(5); root.right.left = new Node(2); printRootToLeaf(root); } } /* A binary tree node */ public class Node { public int data; public Node left, right; public Node( int data) { left = right = null ; this .data = data; } }; // This code is contributed Rajput-Ji |
Output :
10 8 3 10 8 5 10 2 2
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