g0101_0200.s0104_maximum_depth_of_binary_tree.Solution Maven / Gradle / Ivy
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Java-based LeetCode algorithm problem solutions, regularly updated
package g0101_0200.s0104_maximum_depth_of_binary_tree;
// #Easy #Top_100_Liked_Questions #Top_Interview_Questions #Depth_First_Search #Breadth_First_Search
// #Tree #Binary_Tree #Data_Structure_I_Day_11_Tree
// #Programming_Skills_I_Day_10_Linked_List_and_Tree #Udemy_Tree_Stack_Queue
// #Big_O_Time_O(N)_Space_O(H) #2022_06_22_Time_0_ms_(100.00%)_Space_42.9_MB_(67.03%)
import com_github_leetcode.TreeNode;
/*
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode() {}
* TreeNode(int val) { this.val = val; }
* TreeNode(int val, TreeNode left, TreeNode right) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
/**
* 104 - Maximum Depth of Binary Tree\.
*
* Easy
*
* 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:**
*
* ![](https://assets.leetcode.com/uploads/2020/11/26/tmp-tree.jpg)
*
* **Input:** root = [3,9,20,null,null,15,7]
*
* **Output:** 3
*
* **Example 2:**
*
* **Input:** root = [1,null,2]
*
* **Output:** 2
*
* **Example 3:**
*
* **Input:** root = []
*
* **Output:** 0
*
* **Example 4:**
*
* **Input:** root = [0]
*
* **Output:** 1
*
* **Constraints:**
*
* * The number of nodes in the tree is in the range [0, 104]
.
* * `-100 <= Node.val <= 100`
**/
public class Solution {
public int maxDepth(TreeNode root) {
return findDepth(root, 0);
}
private int findDepth(TreeNode node, int currentDepth) {
if (node == null) {
return 0;
}
currentDepth++;
return 1
+ Math.max(findDepth(node.left, currentDepth), findDepth(node.right, currentDepth));
}
}
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