Hello people! In this post, we will talk about a generic tree data structure which is N-ary tree or also known as k-way tree. N-ary tree is defined as a rooted tree which has at most N children for any node. So, a binary tree is a special case of the N-ary tree, where N = 2. Example –

The above example is a N-ary tree with N = 3. You can observe that each node has no more than 3 children.

In many scenarios, having a binary tree many not be enough as a situation can often lead to more than 2 situations. In such cases, we must form a N-ary tree of sufficiently large N.

Implementing N-ary tree using structures

Implementing N-ary tree is very simple. It is even more easy if you already know how to implement a Trie Tree. Now, in the case of binary tree, the node structure was like this –

class TreeNode {
    String label;
    Node leftChild, rightChild;
}

Having two references was enough for us then because we knew we would have at most 2 children. Now, we can have at most N children. How will you store a collection of N references? By using an array! In the case of Java, I’d like to use an ArrayList rather than an array. In the case of C++, I’d suggest you go for a C++ STL vector. So now our node structure will look like this –

class NaryTreeNode {
    String label;
    ArrayList<NaryTreeNode> children;
    int n;
}

Storing the value of N inside the node will enable us to put a restriction on the number of children. So we will add methods inside our newly formed NaryTreeNode class to manipulate the member variables. Some important methods would be –

• addChild(child) – to add a child node.
• getChildren() – to get all the child nodes.
• getChild(index) – to get child at a certain index.
• print(root) – to print the tree. (This can be a static method, where we just supply the root node).

Also, don’t forget to add a constructor to your class! Now you are all set to write the code for N-ary tree. Try to code it, this is something you should be able to code in 1-3 attempts. You can refer to my code below if you get stuck –

Matter
   Pure
      Elements
         Metals
         Metalloids
         Non-metals
      Compounds
         Water
         Carbon dioxide
         Salt
   Mixture
      Homogeneous
         Air
         Vinegar
      Heterogeneous
         Colloids
         Suspensions

I have added a helper method for printing the tree so that the tree can be printed more legibly based on the depth of nodes. I have also modified the addChild() method a little. It only accepts the new child’s label as it’s N value can be deduced from the parent node. The code should be easy to understand. Do leave a comment if you have any doubts 🙂

Implementing N-ary tree using arrays

Remember you can implement a binary tree using arrays. Similarly, you can also implement an N-ary tree using arrays. It is very similar to how you would do it in the case of binary trees, so here the formula for computing child node and parent node changes.

	Parent node	Child node
Binary tree		Left child – Right Child –
N-ary Tree		Cth child –

Using the above table, you can find the parent and child node for a node at index i. Generally, I like to implement the tree using structures, but if you have a complete n-ary tree, then the array representation will you a better compact storage.

I hope this article was able to give you an idea of how to implement an N-ary tree. Keep practicing! Happy coding! 😀