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Java-based LeetCode algorithm problem solutions, regularly updated
package g0101_0200.s0111_minimum_depth_of_binary_tree;
// #Easy #Depth_First_Search #Breadth_First_Search #Tree #Binary_Tree #Udemy_Tree_Stack_Queue
// #2022_06_23_Time_1_ms_(97.49%)_Space_97_MB_(5.22%)
import com_github_leetcode.TreeNode;
import java.util.LinkedList;
import java.util.Queue;
/*
* 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;
* }
* }
*/
/**
* 111 - Minimum Depth of Binary Tree\.
*
* Easy
*
* Given a binary tree, find its minimum depth.
*
* The minimum depth is the number of nodes along the shortest path from the root node down to the nearest leaf node.
*
* **Note:** A leaf is a node with no children.
*
* **Example 1:**
*
* ![](https://assets.leetcode.com/uploads/2020/10/12/ex_depth.jpg)
*
* **Input:** root = [3,9,20,null,null,15,7]
*
* **Output:** 2
*
* **Example 2:**
*
* **Input:** root = [2,null,3,null,4,null,5,null,6]
*
* **Output:** 5
*
* **Constraints:**
*
* * The number of nodes in the tree is in the range [0, 105]
.
* * `-1000 <= Node.val <= 1000`
**/
public class Solution {
public int minDepth(TreeNode root) {
if (root == null) {
return 0;
}
Queue queue = new LinkedList<>();
queue.add(root);
int d = 0;
while (!queue.isEmpty()) {
int size = queue.size();
for (int i = 0; i < size; i++) {
TreeNode current = queue.poll();
if (current.left == null && current.right == null && d > 0) {
return d + 1;
}
if (current.right != null) {
queue.add(current.right);
}
if (current.left != null) {
queue.add(current.left);
}
}
d++;
}
return d;
}
}
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