Maximum Depth of Binary Tree
Maximum Depth of Binary Tree is a Easy Data Structures and Algorithms interview problem you can solve, run and submit on Thita.ai. It belongs to the Tree Traversal Patterns (DFS & BFS) pattern, in the Recursive Postorder Traversal subpattern.
Problem statement
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.
Example 1:
Input: root = [3,9,20,null,null,15,7] Output: 3
Example 2:
Input: root = [1,null,2] Output: 2
Constraints:
- The number of nodes in the tree is in the range [0, 104].
- -100 <= Node.val <= 100
Topics and companies
Topics: Tree, Depth-First Search, Breadth-First Search, Binary Tree.
Reported in interviews at LinkedIn, Amazon, Intel.
How to practise Maximum Depth of Binary Tree on Thita.ai
Starter code is provided in C, C#, C++, Go, Java, JavaScript and Python. Your solution runs against 5 test cases for this problem, with the AI coach available for a hint when you are stuck rather than a finished answer. The reference solution runs in O(n) time and O(h) space.
Open Maximum Depth of Binary Tree in the code editor, or read the Maximum Depth of Binary Tree editorial for a worked solution with its approach and complexity analysis.
Where Maximum Depth of Binary Tree sits in the DSA pattern sheet
- Tree Traversal Patterns (DFS & BFS) pattern guide
- Recursive Postorder Traversal subpattern
- The full DSA patterns sheet
- All coding practice problems
Problems related to Maximum Depth of Binary Tree
Other problems that use the same Recursive Postorder Traversal and Tree Traversal Patterns (DFS & BFS) techniques:
- All Nodes Distance K in Binary Tree — Medium, same subpattern
- Balanced Binary Tree — Easy, same subpattern
- Binary Tree Maximum Path Sum — Hard, same subpattern
- Binary Tree Postorder Traversal — Easy, same subpattern
- Delete Nodes And Return Forest — Medium, same subpattern
- Diameter of Binary Tree — Easy, same subpattern
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