The

The easiest way to implement inOrder traversal algorithm in Java or any programming language is by using recursion. Since binary tree is a recursive data structure, recursion is the natural choice for solving tree based problem.

The inOrder() method in the BinaryTree class implements the logic to traverse binary tree using recursion. Btw, even though these three algorithms (pre-order, in-order, and post-order) are popular binary tree traversal algorithms but they are the only ones. You also have other breadth-first way to traverse a binary tree e.g. level order traversal (See Introduction to Algorithms by Thomas H. Cormen).

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

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The recursive algoirthm 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 base case, which is key to any recursive algorithm. In this problem, base case is you reach to 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 binary tree using InOrder travesal:

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

Similar to preOrder() method in last example, there is another inOrder() method which expose inorder traversal to public and call this private method which actually perform the InOrder traversal. This is the standard way to write recursive method which takes input, it makes it easier for 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 left subtree until we hit node == null, which means the last node was leaf node. At this point of time, the inOrder() method will return and execute next line, which prints the node.data. After that its again recursive inOrder() call with node.right, which will initiate the same process again. You can also check Algorithm design manual by Steve Skiena to learn more about algorithms and how to design your own algorithms.

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

That's all about

Other

**InOrder**traversal is one of the three popular ways to traverse a binary tree in Java, other two being preOrder and postOrder. During the inOrder traversal algorithm, left subtree is explored first, followed by root, and finally right subtree. You start traversal from root then goes to left node, then again goes to left node until you reach a leaf node. At that point of time, you print the value of the node or mark it visited and moved to right subtree. Continuing the same algorithm until all nodes of the binary tree are visited. The InOrder traversal is also known as left-node-right traversal or LNR traversal algorithm. Similar to the preOrder algorithm, it is also a depth-first algorithm because it explores the depth of binary tree before exploring siblings. Since it is one of the fundamental binary tree algorithms it's quite popular in programming interviews. They are also the basis to learn more advanced binary tree algorithm, hence every programmer should learn, understand and know how to implement in-order and other traversal algorithms.The easiest way to implement inOrder traversal algorithm in Java or any programming language is by using recursion. Since binary tree is a recursive data structure, recursion is the natural choice for solving tree based problem.

The inOrder() method in the BinaryTree class implements the logic to traverse binary tree using recursion. Btw, even though these three algorithms (pre-order, in-order, and post-order) are popular binary tree traversal algorithms but they are the only ones. You also have other breadth-first way to traverse a binary tree e.g. level order traversal (See Introduction to Algorithms by Thomas H. Cormen).

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

**sorted order**but only if given tree is binary search tree. If you remember, in BST, value of left subtree is lower than root and values of nodes on right subtree is higher than root.##
__Recursive algorithm to implement InOrder traversal of Binary tree__

The recursive algoirthm 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 base case, which is key to any recursive algorithm. In this problem, base case is you reach to 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 binary tree using InOrder travesal:- visit left node
- print value of 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 preOrder() method in last example, there is another inOrder() method which expose inorder traversal to public and call this private method which actually perform the InOrder traversal. This is the standard way to write recursive method which takes input, it makes it easier for 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 left subtree until we hit node == null, which means the last node was leaf node. At this point of time, the inOrder() method will return and execute next line, which prints the node.data. After that its again recursive inOrder() call with node.right, which will initiate the same process again. You can also check Algorithm design manual by Steve Skiena to learn more about algorithms and how to design your own algorithms.

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__Java Program to implement InOrder traversal of Binary tree__

Here is our complete soution of inorder traversal algorithm in Java. This program uses a recursive algorihtm to print value of all nodes of binary tree using InOrder traversal. As I told you before, during in-order traversal value of left subtree is printed first, followed by root and right sub tree. If you are interested in the iterative algorithm, you can further check this tutorial of implementing in order traversal without recursion.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.right.right.left = new TreeNode("67"); tree.root.right.right.right = new TreeNode("78"); return tree; } } Output printing nodes of binary tree on InOrder using recursion 5 10 20 30 40 50 67 60 78

That's all about

**how to implement inOrder traversal of binary tree in Java using recursion**. You can see the code is pretty much similar to the preOrder traversal with only difference in the order we recursive call the method. In this case, we call inOrder(node.left) first and then print value of node. It's worth remembering that InOrer 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 Quicksort algorithm in Java? (solution)
- 5 Books to learn data structure and algorithms in Java? (books)
- How to implement binary search algorithm in Java? (solution)
- How to find all pairs on integer array whose sum is equal to given a number? (solution)
- How to reverse an array in place in Java? (solution)
- How to reverse a linked list in Java without recursion? (solution)
- How to implement Insertion sort in Java? (solution)
- How to find the missing number in an array of 1 to 100? (solution)
- How to find the length of singly linked list in Java? (solution)
- 15 frequently asked data structure and algorithm Interview Questions (list)

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

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