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);}}
