111:二叉树的最小深度

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轩辕龙儿 2022-03-18 23:22:31 +08:00
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//给定一个二叉树找出其最小深度
//
// 最小深度是从根节点到最近叶子节点的最短路径上的节点数量
//
// 说明叶子节点是指没有子节点的节点
//
//
//
// 示例 1
//
//
//输入root = [3,9,20,null,null,15,7]
//输出2
//
//
// 示例 2
//
//
//输入root = [2,null,3,null,4,null,5,null,6]
//输出5
//
//
//
//
// 提示
//
//
// 树中节点数的范围在 [0, 10]
// -1000 <= Node.val <= 1000
//
// Related Topics 深度优先搜索 广度优先搜索 二叉树 👍 693 👎 0
package leetcode.editor.cn;
import com.code.leet.entiy.TreeNode;
import java.util.LinkedList;
import java.util.Queue;
//111:二叉树的最小深度
public class MinimumDepthOfBinaryTree {
public static void main(String[] args) {
Solution solution = new MinimumDepthOfBinaryTree().new Solution();
}
//leetcode submit region begin(Prohibit modification and deletion)
/**
* 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;
* }
* }
*/
class Solution {
public int minDepth(TreeNode root) {
if (root == null) {
return 0;
}
Queue<TreeNode> queue = new LinkedList<>();
queue.add(root);
int count = 0;
while (!queue.isEmpty()) {
int size = queue.size();
count++;
for (int i = 0; i < size; i++) {
TreeNode node = queue.poll();
if (node.left == null && node.right == null) {
return count;
}
if (node.left != null) {
queue.add(node.left);
}
if (node.right != null) {
queue.add(node.right);
}
}
}
return 0;
}
}
//leetcode submit region end(Prohibit modification and deletion)
}

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<p>给定一个二叉树,找出其最小深度。</p>
<p>最小深度是从根节点到最近叶子节点的最短路径上的节点数量。</p>
<p><strong>说明:</strong>叶子节点是指没有子节点的节点。</p>
<p> </p>
<p><strong>示例 1</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2020/10/12/ex_depth.jpg" style="width: 432px; height: 302px;" />
<pre>
<strong>输入:</strong>root = [3,9,20,null,null,15,7]
<strong>输出:</strong>2
</pre>
<p><strong>示例 2</strong></p>
<pre>
<strong>输入:</strong>root = [2,null,3,null,4,null,5,null,6]
<strong>输出:</strong>5
</pre>
<p> </p>
<p><strong>提示:</strong></p>
<ul>
<li>树中节点数的范围在 <code>[0, 10<sup>5</sup>]</code></li>
<li><code>-1000 <= Node.val <= 1000</code></li>
</ul>
<div><div>Related Topics</div><div><li></li><li>深度优先搜索</li><li>广度优先搜索</li><li>二叉树</li></div></div><br><div><li>👍 693</li><li>👎 0</li></div>