解法一:广度优先遍历
层序遍历。
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
class Solution {
public int maxDepth(TreeNode root) {
Queue<TreeNode> queue = new LinkedList<>();
if (root != null) {
queue.offer(root);
}
int depth = 0;
while (!queue.isEmpty()) {
++depth;
int size = queue.size();
for (int i = 0; i < size; ++i) {
TreeNode temp = queue.poll();
if (temp.left != null) {
queue.offer(temp.left);
}
if (temp.right != null) {
queue.offer(temp.right);
}
}
}
return depth;
}
}
解法二:深度优先遍历
每棵树的深度相当于左右子树深度较大值+1,相当简洁。
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
class Solution {
public int maxDepth(TreeNode root) {
return dfs(root);
}
private int dfs(TreeNode root) {
if (root == null) {
return 0;
}
return Math.max(dfs(root.left) + 1, dfs(root.right) + 1);
}
}