The

Similar to the preOrder algorithm, it is also a depth-first algorithm because it explores the depth of a binary tree before exploring siblings. Since it is one of the fundamental binary tree algorithms it's quite popular in programming interviews.

These traversal algorithms are also the basis for learning more advanced binary tree algorithms, hence every programmer should learn, understand, and know how to implement in-order and other traversal algorithms.

The easiest way to implement the inOrder traversal algorithm in Java or any programming language is by using recursion. Since the binary tree is a recursive data structure, recursion is the natural choice for solving a tree-based problem. The inOrder() method in the BinaryTree class implements the logic to traverse a binary tree using recursion.

From the Interview point of view, InOrder traversal is extremely important because it also prints nodes of a binary search tree in the

Btw, even though these three algorithms (pre-order, in-order, and post-order) are popular binary tree traversal algorithms but they are not the only ones. You also have other breadth-first ways to traverse a binary tree e.g. level order traversal (See

##

The recursive algorithm of inorder traversal is very simple. You just need to call the inOrder() method of BinaryTree class in the order you want to visit the tree. What is most important is to include the base case, which is key to any recursive algorithm.

For example, in this problem, the base case is you reach the leaf node and there is no more node to explore, at that point of time recursion starts to wind down. Here are the exact steps to traverse the binary tree using InOrder traversal:

and here is the sample code to implement this algorithm using recursion in Java:

Similar to the preOrder() method in the last example, there is another inOrder() method which exposes inorder traversal to the public and calls this private method which actually performs the InOrder traversal.

This is the standard way to write a recursive method that takes input, it makes it easier for a client to call the method.

You can see that we start with root and then recursive call the inOrder() method with node.left, which means we are going down on the left subtree until we hit node == null, which means the last node was a leaf node.

At this point in time, the inOrder() method will return and execute the next line, which prints the node.data. After that it's again recursive inOrder() call with node.right, which will initiate the same process again.

You can also check out

##

Here is our complete solution to the inorder traversal algorithm in Java. This program uses a recursive algorithm to print the value of all nodes of a binary tree using InOrder traversal.

As I have told you before, during the in-order traversal value of the left subtree is printed first, followed by root and right subtree. If you are interested in the iterative algorithm, you can further check this tutorial of implementing in order traversal without recursion.

**InOrder**traversal is one of the three popular ways to traverse a binary tree data structure, the other two being the preOrder and postOrder. During the in-order traversal algorithm, the left subtree is explored first, followed by root, and finally nodes on the right subtree. You start traversal from root then go to the left node, then again go to the left node until you reach a leaf node. At that point in time, you print the value of the node or mark it visited and move to the right subtree. Continuing the same algorithm until all nodes of the binary tree are visited. The InOrder traversal is also known as the**left-node-right**or**left-root-right**traversal or**LNR**traversal algorithm.Similar to the preOrder algorithm, it is also a depth-first algorithm because it explores the depth of a binary tree before exploring siblings. Since it is one of the fundamental binary tree algorithms it's quite popular in programming interviews.

These traversal algorithms are also the basis for learning more advanced binary tree algorithms, hence every programmer should learn, understand, and know how to implement in-order and other traversal algorithms.

The easiest way to implement the inOrder traversal algorithm in Java or any programming language is by using recursion. Since the binary tree is a recursive data structure, recursion is the natural choice for solving a tree-based problem. The inOrder() method in the BinaryTree class implements the logic to traverse a binary tree using recursion.

From the Interview point of view, InOrder traversal is extremely important because it also prints nodes of a binary search tree in the

**sorted order**but only if the given tree is a binary search tree. If you remember, in BST, the value of nodes in the left subtree is lower than the root, and the values of nodes on the right subtree are higher than the root. The In order traversal literally means IN order i.e notes are printed in the order or sorted order.Btw, even though these three algorithms (pre-order, in-order, and post-order) are popular binary tree traversal algorithms but they are not the only ones. You also have other breadth-first ways to traverse a binary tree e.g. level order traversal (See

**Data Structure and Algorithms: Deep Dive**).##
__The Recursive algorithm to implement InOrder traversal of a Binary tree__

The recursive algorithm of inorder traversal is very simple. You just need to call the inOrder() method of BinaryTree class in the order you want to visit the tree. What is most important is to include the base case, which is key to any recursive algorithm.For example, in this problem, the base case is you reach the leaf node and there is no more node to explore, at that point of time recursion starts to wind down. Here are the exact steps to traverse the binary tree using InOrder traversal:

- visit left node
- print value of the root
- visit right node

and here is the sample code to implement this algorithm using recursion in Java:

private void inOrder(TreeNode node) { if (node == null) { return; } inOrder(node.left); System.out.printf("%s ", node.data); inOrder(node.right); }

Similar to the preOrder() method in the last example, there is another inOrder() method which exposes inorder traversal to the public and calls this private method which actually performs the InOrder traversal.

This is the standard way to write a recursive method that takes input, it makes it easier for a client to call the method.

public void inOrder() { inOrder(root); }

You can see that we start with root and then recursive call the inOrder() method with node.left, which means we are going down on the left subtree until we hit node == null, which means the last node was a leaf node.

At this point in time, the inOrder() method will return and execute the next line, which prints the node.data. After that it's again recursive inOrder() call with node.right, which will initiate the same process again.

You can also check out

**Data Structure and Algorithms Part 1 and 2**courses on Pluralsight to learn more about algorithms and how to design your own algorithms.##
__Java Program to implement InOrder traversal of a Binary tree__

Here is our complete solution to the inorder traversal algorithm in Java. This program uses a recursive algorithm to print the value of all nodes of a binary tree using InOrder traversal.As I have told you before, during the in-order traversal value of the left subtree is printed first, followed by root and right subtree. If you are interested in the iterative algorithm, you can further check this tutorial of implementing in order traversal without recursion.

Btw, if you struggle to understand recursion and coming up with recursive algorithms then I also recommend you to check out the Educative platform which has interactive courses to teach you recursion.

I also highly recommend their

That's all about

It's worth remembering that in order traversal is a depth-first algorithm and prints tree node in sorted order if given binary tree is a binary search tree.

In the next part of this article, I'll share inOrder traversal without recursion, meanwhile, you can try practicing following data structure and binary tree problems.

Other

**Grokking the Coding Interview: Patterns for Coding Questions**course which teaches 15+ essential coding patterns like sliding window, fast and slow pointer, merge interval etch which can be used to solve 100+ Leetcode problems.import java.util.Stack; /* * Java Program to traverse a binary tree * using inorder traversal without recursion. * In InOrder traversal first left node is visited, followed by root * and right node. * * input: * 40 * / \ * 20 50 * / \ \ * 10 30 60 * / / \ * 5 67 78 * * output: 5 10 20 30 40 50 60 67 78 */ public class Main { public static void main(String[] args) throws Exception { // construct the binary tree given in question BinaryTree bt = BinaryTree.create(); // traversing binary tree using InOrder traversal using recursion System.out .println("printing nodes of binary tree on InOrder using recursion"); bt.inOrder(); } } class BinaryTree { static class TreeNode { String data; TreeNode left, right; TreeNode(String value) { this.data = value; left = right = null; } } // root of binary tree TreeNode root; /** * traverse the binary tree on InOrder traversal algorithm */ public void inOrder() { inOrder(root); } private void inOrder(TreeNode node) { if (node == null) { return; } inOrder(node.left); System.out.printf("%s ", node.data); inOrder(node.right); } /** * Java method to create binary tree with test data * * @return a sample binary tree for testing */ public static BinaryTree create() { BinaryTree tree = new BinaryTree(); TreeNode root = new TreeNode("40"); tree.root = root; tree.root.left = new TreeNode("20"); tree.root.left.left = new TreeNode("10"); tree.root.left.left.left = new TreeNode("5"); tree.root.left.right = new TreeNode("30"); tree.root.right = new TreeNode("50"); tree.root.right.right = new TreeNode("60"); tree.root.left.right.left = new TreeNode("67"); tree.root.left.right.right = new TreeNode("78"); return tree; } } Output printing nodes of binary tree on InOrder using recursion 5 10 20 30 67 78 40 50 60

That's all about

**how to implement inOrder traversal of a binary tree in Java using recursion**. You can see the code is pretty much similar to the preOrder traversal with the only difference in the order we recursive call the method. In this case, we call inOrder(node.left) first and then print the value of the node.It's worth remembering that in order traversal is a depth-first algorithm and prints tree node in sorted order if given binary tree is a binary search tree.

In the next part of this article, I'll share inOrder traversal without recursion, meanwhile, you can try practicing following data structure and binary tree problems.

Other

**data structure and algorithms tutorials**for Java Programmers- 10 Algorithm books Every Programmer Should Read (list)
- How to implement the Quicksort algorithm in Java? (solution)
- 5 Books to learn data structure and algorithms in Java? (books)
- Top 50 Java Programs from Coding Interviews (see here)
- How to find the largest and smallest number in an array in Java (read here)
- How to find two maximum numbers on an integer array in Java (check here)
- 5 Free Data Structure and Algorithms Courses for Programmers (courses)
- How to check if a String is a Palindrome in Java? [solution]
- How to find the missing number in a sorted array in Java? [answer]
- 10 Algorithms Books Every Programmer Should Read (books)
- 10 Free Data Structure and Algorithm Courses for Programmers (courses)
- 100+ Data Structure Coding Problems from Interviews (questions)
- How to print the Fibonacci series in Java without using Recursion? [solution]
- How to check if an integer is a power of two without using division or modulo operator?[hint]
- How to find all permutations of String in Java? [solution]
- Top 20 String coding interview questions (see here)
- How to remove an element from the array without using a third-party library (check here)

If you have any suggestions to make this algorithm better, feel free to suggest. The interviewer loves people who come up with their own algorithms or give some touch to popular algorithms.

**P. S.**- If you don't mind learning from free resources then you can also take a look at my list of**free data structure and algorithm courses**for Java developers. It contains some free online courses from Udemy, Coursera, edX, and other resources for Java developers.And, now one question for you, what is your favorite data structure? array, linked list, binary tree or Hash table? do let me know in comments.

to represent the tree mentioned in input tree, you need to change the code like this :

ReplyDeletetree.root.left.right.left = new TreeNode("67");

tree.root.left.right.right = new TreeNode("78");

Thanks @Sar, that was exactly the problem. I have corrected it now.

Deletethe output is wrong.

ReplyDeleteHi @Anonymous, thanks for pointing out, I have corrected the code to create the binary tree as per diagram in specification.

Deleteyes completely wrong

ReplyDeleteHi Vipin, I have corrected the testing code, now the tree is created as per the diagram shown in the program and also nodes are printed in pre order. If you see any issue, please comment. thanks for heads up.

Deleteyou are saying that its printing the node in preOrder and in the code you have mentioned that as Inorder, it is incorrect the correct inorder traversal for the tree given on top will be : 5 10 20 67 30 78 40 50 60

DeleteException in thread: the method inOrder(BinaryTree.TreeNode) in the type BinaryTree is not applicable for the arguments ()

ReplyDeleteHey java67, here are the changes to fix code and example:

ReplyDeleteYour tree in ascii should look like this (you can reconfigure of in order):

/*

* input:

* 40

* / \

* 20 50

* / \ \

* 10 30 67

* / / \

* 5 60 78

*

* output: 5 10 20 30 40 50 60 67 78

*/

and your create method, like this:

...

public static BinaryTree create() {

BinaryTree tree = new BinaryTree();

TreeNode root = new TreeNode("40");

tree.root = root;

tree.root.left = new TreeNode("20");

tree.root.left.left = new TreeNode("10");

tree.root.left.left.left = new TreeNode("5");

tree.root.left.right = new TreeNode("30");

tree.root.right = new TreeNode("50");

tree.root.right.right = new TreeNode("67");

tree.root.right.right.left = new TreeNode("60");

tree.root.right.right.right = new TreeNode("78");

return tree;

}

...