Tree Traversal

Tree traversal refers to the process of visiting or exploring every node of a tree data structure. It allows us to access the data stored in the tree in a specific order.

There are three main types of tree traversal techniques:

1. Inorder Traversal: In this traversal, we first traverse the left subtree, then visit the root node, and finally traverse the right subtree.
2. Preorder Traversal: In this traversal, we first visit the root node, then traverse the left subtree, and finally traverse the right subtree.
3. Postorder Traversal: In this traversal, we first traverse the left subtree, then traverse the right subtree, and finally visit the root node.

Understanding tree traversal techniques is essential for various algorithms and operations on trees, such as searching, inserting, or deleting nodes.

Let's take a look at an example of performing an inorder traversal on a binary tree in C++:

1replace with code logic

In the code snippet above, we define a binary tree structure using a C++ struct. We then implement the inorderTraversal function to perform the inorder traversal using a stack for iterative traversal. At each node, we replace the existing code with our custom logic.

Feel free to replace the existing code with your own implementation and explore other tree traversal techniques and their applications.

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}

#include <iostream>

#include <stack>

using namespace std;

​

// Definition for a binary tree node

struct TreeNode {

  int val;

  TreeNode* left;

  TreeNode* right;

  TreeNode(int x) : val(x), left(NULL), right(NULL) {}

};

​

// Function to perform inorder traversal

void inorderTraversal(TreeNode* root) {

  if (!root) return;

​

  stack<TreeNode*> s;

  TreeNode* curr = root;

​

  while (curr != NULL || !s.empty()) {

    while (curr != NULL) {

      s.push(curr);

      curr = curr->left;

    }

​

    curr = s.top();

    s.pop();

​

    // Replace this code with your custom logic