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Given a binary tree, find its maximum depth.A binary tree's maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node. Example 1: Input: root --> 1 &nbs
Oct 3, 2023 · Find the Maximum Depth or Height of given Binary Tree - GeeksforGeeks. Last Updated : 03 Oct, 2023. Given a binary tree, the task is to find the height of the tree. The height of the tree is the number of vertices in the tree from the root to the deepest node. Note: The height of an empty tree is 0 and the height of a tree with single node is 1.
Maximum Depth of Binary Tree - Given the root of a binary tree, return its maximum depth. A binary tree's maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.
Jan 22, 2024 · The maximum depth or height of a binary tree is the number of edges on the longest path from the root node down to the farthest leaf node. A tree with a single node (only the root) has a height of 0. Recursive Approach to Find the Maximum Depth of a Binary Tree with Python.
The maximum depth is defined as the length of the longest path from the root node of the tree down to the farthest leaf node. The length of a path is measured by the number of nodes along that path. In this context, a leaf node is a node with no children, signifying that it's at the edge of the tree. Intuition.
The height or maximum depth of a binary tree is the total number of edges on the longest path from the root node to the leaf node. In other words, the height of a binary tree is equal to the maximum number of edges from the root to the most distant leaf node.
Dec 1, 2023 · According to Cormen et al. Introduction to Algorithms (Appendix B.5.3), the depth of a node X in a tree T is defined as the length of the simple path (number of edges) from the root node of T to X. The height of a node Y is the number of edges on the longest downward simple path from Y to a leaf.
Maximum Depth of Binary Tree. Time: O (n) O(n) Space: O (1) O(1) C++ Java Python. 1 2 3 4 5 6 7 8. class Solution { public: int maxDepth(TreeNode* root) { if (root == nullptr) return 0; return 1 + max(maxDepth(root->left), maxDepth(root->right)); } }; LeetCode Solutions in C++20, Java, Python, MySQL, and TypeScript.
Depth of a binary tree is the same as its height. In simpler terms, you have to find the total number of nodes encountered while moving from the root node to the farthest leaf node, along the longest path of the binary tree.
The maximum depth of a binary tree could easily be found using a simple recursive algorithm. The maximum depth would be 1 + maximum of ( depth of root’s left subtree or depth of root’s right subtree ).
