力扣热题100题-二叉树的中序遍历


给定一个二叉树的根节点 root ,返回 它的 中序 遍历 。

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示例 1:

输入:root = [1,null,2,3]
输出:[1,3,2]
示例 2:

输入:root = []
输出:[]
示例 3:

输入:root = [1]
输出:[1]

提示:

树中节点数目在范围 [0, 100] 内
-100 <= Node.val <= 100

进阶: 递归算法很简单,你可以通过迭代算法完成吗?

来源:力扣(LeetCode)
链接:https://leetcode.cn/problems/binary-tree-inorder-traversal

解法1:

/**
 * 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 List<Integer> inorderTraversal(TreeNode root) {
        List<Integer> result = new ArrayList<Integer>();
        if(root == null){
            return result;
        }
        if(root.left != null){
            result.addAll(inorderTraversal(root.left));
        }
        result.add(root.val);
        if(root.right != null){
            result.addAll(inorderTraversal(root.right));
        }
        return result;
    }
}

时间复杂度:O(n) 空间复杂度:O(n)

第二种解法:

/**
 * 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 List<Integer> inorderTraversal(TreeNode root) {
        List<Integer> result = new ArrayList<Integer>();
        if(root == null){
            return result;
        }
        Stack<TreeNode> stack = new Stack<TreeNode>();
        while(root != null || !stack.isEmpty()){
            while(root != null){
                stack.push(root);
                root= root.left;
            }
            root = stack.pop();
            result.add(root.val);
            root = root.right;
        }
        return result;
    }
}

时间复杂度:O(n) 空间复杂度O(n)


文章作者: 冯廷鑫
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