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Copy pathMinimumDepthOfBinaryTree.java
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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> 内</li>
* <li><code>-1000 <= Node.val <= 1000</code></li>
* </ul>
* <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>👍 625</li><li>👎 0</li></div>
*/
package leetcode3;
public class MinimumDepthOfBinaryTree {
public static void main(String[] args) {
Solution solution = new MinimumDepthOfBinaryTree().new Solution();
}
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;
}
if (root.left == null) {
return minDepth(root.right) + 1;
}
if (root.right == null) {
return minDepth(root.left) + 1;
}
int left = minDepth(root.left);
int right = minDepth(root.right);
return Math.min(left, right) + 1;
}
}
/**
* 「递归」
*/
class Solution2_1 {
public int minDepth(TreeNode root) {
if (root == null) {
return 0;
}
int left = minDepth(root.left);
int right = minDepth(root.right);
if (left == 0 || right == 0) {
return left + right + 1;
}
return Math.min(left, right) + 1;
}
}
/**
* 根据原解法,对代码再次进行精简
*/
class Solution2_2 {
public int minDepth(TreeNode root) {
if (root == null) return 0;
int left = minDepth(root.left);
int right = minDepth(root.right);
return left == 0 || right == 0 ? left + right + 1 : Math.min(left, right) + 1;
}
}
}