111:二叉树的最小深度
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//给定一个二叉树,找出其最小深度。
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//
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// 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。
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//
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// 说明:叶子节点是指没有子节点的节点。
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//
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//
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//
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// 示例 1:
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//
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//
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//输入:root = [3,9,20,null,null,15,7]
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//输出:2
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//
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//
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// 示例 2:
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//
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//
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//输入:root = [2,null,3,null,4,null,5,null,6]
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//输出:5
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//
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//
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//
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//
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// 提示:
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//
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//
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// 树中节点数的范围在 [0, 10⁵] 内
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// -1000 <= Node.val <= 1000
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//
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// Related Topics 树 深度优先搜索 广度优先搜索 二叉树 👍 693 👎 0
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package leetcode.editor.cn;
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import com.code.leet.entiy.TreeNode;
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import java.util.LinkedList;
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import java.util.Queue;
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//111:二叉树的最小深度
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public class MinimumDepthOfBinaryTree {
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public static void main(String[] args) {
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Solution solution = new MinimumDepthOfBinaryTree().new Solution();
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}
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//leetcode submit region begin(Prohibit modification and deletion)
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/**
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* Definition for a binary tree node.
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* public class TreeNode {
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* int val;
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* TreeNode left;
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* TreeNode right;
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* TreeNode() {}
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* TreeNode(int val) { this.val = val; }
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* TreeNode(int val, TreeNode left, TreeNode right) {
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* this.val = val;
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* this.left = left;
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* this.right = right;
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* }
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* }
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*/
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class Solution {
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public int minDepth(TreeNode root) {
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if (root == null) {
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return 0;
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}
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Queue<TreeNode> queue = new LinkedList<>();
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queue.add(root);
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int count = 0;
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while (!queue.isEmpty()) {
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int size = queue.size();
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count++;
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for (int i = 0; i < size; i++) {
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TreeNode node = queue.poll();
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if (node.left == null && node.right == null) {
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return count;
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}
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if (node.left != null) {
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queue.add(node.left);
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}
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if (node.right != null) {
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queue.add(node.right);
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}
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}
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}
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return 0;
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}
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}
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//leetcode submit region end(Prohibit modification and deletion)
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}
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@ -0,0 +1,31 @@
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<p>给定一个二叉树,找出其最小深度。</p>
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<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>
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<p><strong>说明:</strong>叶子节点是指没有子节点的节点。</p>
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<p> </p>
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<p><strong>示例 1:</strong></p>
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<img alt="" src="https://assets.leetcode.com/uploads/2020/10/12/ex_depth.jpg" style="width: 432px; height: 302px;" />
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<pre>
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<strong>输入:</strong>root = [3,9,20,null,null,15,7]
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<strong>输出:</strong>2
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</pre>
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<p><strong>示例 2:</strong></p>
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<pre>
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<strong>输入:</strong>root = [2,null,3,null,4,null,5,null,6]
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<strong>输出:</strong>5
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</pre>
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<p> </p>
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<p><strong>提示:</strong></p>
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<ul>
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<li>树中节点数的范围在 <code>[0, 10<sup>5</sup>]</code> 内</li>
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<li><code>-1000 <= Node.val <= 1000</code></li>
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</ul>
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<div><div>Related Topics</div><div><li>树</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>
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