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Depth of an N-Ary tree
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ZigZag Level Order Traversal of an N-ary Tree

Last Updated : 25 Oct, 2024
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Given a Generic Tree consisting of n nodes, the task is to find the ZigZag Level Order Traversal of the given tree.
Note: A generic tree is a tree where each node can have zero or more children nodes. Unlike a binary tree, which has at most two children per node (left and right), a generic tree allows for multiple branches or children for each node.

Examples:

Input:

second-largest-element-in-n-ary-tree-1


Output:
11
90 29 21
18 10 12 77

Approach:

The idea is to solve the given problem by using BFS Traversal. The approach is very similar to the Level Order Traversal of the N-ary Tree. It can be observed that on reversing the order of the even levels during the Level Order Traversal, the obtained sequence is a ZigZag traversal.

Below is the implementation of the above approach:

C++
// C++ implementation of Zigzag order // traversal of an N-ary tree using BFS #include <bits/stdc++.h> using namespace std;  class Node { public:     int data;     vector<Node*> children;          Node(int val) {         data = val;     } };  // Function to perform zigzag level // order traversal void zigzagTraversal(Node* root) {        // Check if the tree is empty     if (!root) return;      queue<Node*> q;       q.push(root);      // Vector to store nodes of each level     vector<vector<int>> result;      while (!q.empty()) {                 int size = q.size();          vector<int> curLevel;          // Traverse all nodes in the current level         for (int i = 0; i < size; i++) {              Node* curr = q.front();             q.pop();                          // Add the current node's value              // to the current level             curLevel.push_back(curr->data);              // Add all children of the current              // node to the queue             for (auto child : curr->children) {                 q.push(child);             }         }          // Store the current level in the result vector         result.push_back(curLevel);     }      // Reverse the levels at even indices (0-based index)     for (int i = 0; i < result.size(); i++) {                  // Reverse the level if it is at an odd index         if (i % 2 != 0) {             reverse(result[i].begin(), result[i].end());         }     }        for (auto level : result) {         for (int val : level) {             cout << val << " ";         }         cout << endl;     } }  int main() {           // Representation of given N-ary tree     //         11     //       /  |  \     //     21   29  90     //    /    /  \   \     //   18   10  12  77     Node* root = new Node(11);     root->children.push_back(new Node(21));     root->children.push_back(new Node(29));     root->children.push_back(new Node(90));     root->children[0]->children.push_back(new Node(18));     root->children[1]->children.push_back(new Node(10));     root->children[1]->children.push_back(new Node(12));     root->children[2]->children.push_back(new Node(77));       zigzagTraversal(root);      return 0; } 
Java
// Java implementation of Zigzag order // traversal of an N-ary tree using BFS import java.util.*;  class Node {     int data;     List<Node> children;      Node(int val) {         data = val;         children = new ArrayList<>();     } }  // Function to perform zigzag level order traversal class GfG {      static void zigzagTraversal(Node root) {          // Check if the tree is empty         if (root == null) return;          Queue<Node> q = new LinkedList<>();          q.add(root);          // List to store nodes of each level         List<List<Integer>> result = new ArrayList<>();          while (!q.isEmpty()) {              int size = q.size();              List<Integer> curLevel = new ArrayList<>();              // Traverse all nodes in the current level             for (int i = 0; i < size; i++) {                  Node curr = q.poll();                  // Add the current node's value                 curLevel.add(curr.data);                  // Add all children of the current                 // node to the queue                 for (Node child : curr.children) {                     q.add(child);                 }             }              // Store the current level in the            	// result list             result.add(curLevel);         }          // Reverse the levels at even indices        //(0-based index)         for (int i = 0; i < result.size(); i++) {              // Reverse the level if it is at an           	// odd index             if (i % 2 != 0) {                 Collections.reverse(result.get(i));             }         }          // Print the zigzag level order traversal         for (List<Integer> level : result) {             for (int val : level) {                 System.out.print(val + " ");             }             System.out.println();         }     }      public static void main(String[] args) {          // Representation of given N-ary tree         //         11         //       /  |  \         //     21   29  90         //    /    /  \   \         //   18   10  12  77         Node root = new Node(11);         root.children.add(new Node(21));         root.children.add(new Node(29));         root.children.add(new Node(90));         root.children.get(0).children.add(new Node(18));         root.children.get(1).children.add(new Node(10));         root.children.get(1).children.add(new Node(12));         root.children.get(2).children.add(new Node(77));          zigzagTraversal(root);     } } 
Python
# Python implementation of Zigzag order # traversal of an N-ary tree using BFS from collections import deque  class Node:     def __init__(self, val):         self.data = val         self.children = []  # Function to perform zigzag level  # order traversal def zigzag_traversal(root):      # Check if the tree is empty     if not root:         return      q = deque()      q.append(root)      # List to store nodes of      # each level     result = []      while q:          size = len(q)          cur_level = []          # Traverse all nodes in the current level         for _ in range(size):              curr = q.popleft()              # Add the current node's value             cur_level.append(curr.data)              # Add all children of the current             # node to the queue             for child in curr.children:                 q.append(child)          # Store the current level in the          # result list         result.append(cur_level)      # Reverse the levels at even indices      # (0-based index)     for i in range(len(result)):          # Reverse the level if it is at         # an odd index         if i % 2 != 0:             result[i].reverse()      # Print the zigzag level order traversal     for level in result:         print(" ".join(map(str, level)))                  if __name__ == "__main__":      # Representation of given N-ary tree   #         11   #       /  |  \   #     21   29  90   #    /    /  \   \   #   18   10  12  77   root = Node(11)   root.children.append(Node(21))   root.children.append(Node(29))   root.children.append(Node(90))   root.children[0].children.append(Node(18))   root.children[1].children.append(Node(10))   root.children[1].children.append(Node(12))   root.children[2].children.append(Node(77))    zigzag_traversal(root) 
C#
// C# implementation of Zigzag order // traversal of an N-ary tree using BFS using System; using System.Collections.Generic;  class Node {     public int data;     public List<Node> children;      public Node(int val) {         data = val;         children = new List<Node>();     } }  class GfG {      // Function to perform zigzag level    	// order traversal     static void ZigzagTraversalFunc(Node root) {          // Check if the tree is empty         if (root == null) return;          Queue<Node> q = new Queue<Node>();          q.Enqueue(root);          // List to store nodes of each level         List<List<int>> result = new List<List<int>>();          while (q.Count > 0) {              int size = q.Count;              List<int> curLevel = new List<int>();              // Traverse all nodes in the current level             for (int i = 0; i < size; i++) {                  Node curr = q.Dequeue();                  // Add the current node's value                 curLevel.Add(curr.data);                  // Add all children of the current                 // node to the queue                 foreach (Node child in curr.children) {                     q.Enqueue(child);                 }             }              result.Add(curLevel);         }          // Reverse the levels at even indices       	// (0-based index)         for (int i = 0; i < result.Count; i++) {              // Reverse the level if it is at           	// an odd index             if (i % 2 != 0) {                 result[i].Reverse();             }         }                foreach (var level in result) {             foreach (int val in level) {                 Console.Write(val + " ");             }             Console.WriteLine();         }     }      static void Main(string[] args) {         // Representation of given N-ary tree         //         11         //       /  |  \         //     21   29  90         //    /    /  \   \         //   18   10  12  77         Node root = new Node(11);         root.children.Add(new Node(21));         root.children.Add(new Node(29));         root.children.Add(new Node(90));         root.children[0].children.Add(new Node(18));         root.children[1].children.Add(new Node(10));         root.children[1].children.Add(new Node(12));         root.children[2].children.Add(new Node(77));          ZigzagTraversalFunc(root);     } } 
JavaScript
// Javascript implementation of Zigzag order // traversal of an N-ary tree using BFS class Node {     constructor(val) {         this.data = val;         this.children = [];     } }  // Function to perform zigzag level // order traversal function zigzagTraversal(root) {      // Check if the tree is empty     if (!root) return;      const q = [];      q.push(root);      // Array to store nodes of      // each level     const result = [];      while (q.length > 0) {          const size = q.length;          const curLevel = [];          // Traverse all nodes in the         // current level         for (let i = 0; i < size; i++) {              const curr = q.shift();              // Add the current node's value             curLevel.push(curr.data);              // Add all children of the current             // node to the queue             for (const child of curr.children) {                 q.push(child);             }         }                  result.push(curLevel);     }      // Reverse the levels at even indices     // (0-based index)     for (let i = 0; i < result.length; i++) {          // Reverse the level if it is          // at an odd index         if (i % 2 !== 0) {             result[i].reverse();         }     }          for (const level of result) {         console.log(level.join(" "));     } }  // Representation of given N-ary tree //         11 //       /  |  \ //     21   29  90 //    /    /  \   \ //   18   10  12  77 const root = new Node(11); root.children.push(new Node(21)); root.children.push(new Node(29)); root.children.push(new Node(90)); root.children[0].children.push(new Node(18)); root.children[1].children.push(new Node(10)); root.children[1].children.push(new Node(12)); root.children[2].children.push(new Node(77)); zigzagTraversal(root); 

Output
11  90 29 21  18 10 12 77  

Time Complexity: O(n), where n is the number of nodes in the tree, as each node is processed once during the traversal.
Auxiliary Space: O(n), where n is the maximum number of nodes at any level in the tree, which is required for the queue and result storage.


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Depth of an N-Ary tree

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Article Tags :
  • Misc
  • Tree
  • Mathematical
  • Recursion
  • DSA
  • tree-traversal
  • BFS
  • n-ary-tree
  • tree-level-order
Practice Tags :
  • BFS
  • Mathematical
  • Misc
  • Recursion
  • Tree

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