Given a binary tree, return the inorder traversal of its nodes‘ values.
For example:
Given binary tree {1,#,2,3},
1
2
/
3
return [1,3,2].
Note: Recursive solution is trivial, could you do it iteratively?
confused what "{1,#,2,3}" means? >
read more on how binary tree is serialized on OJ.
The serialization of a binary tree follows a level order traversal, where ‘#‘ signifies a path terminator where no node exists below.
Here‘s an example:
1
/ 2 3
/
4
5
The above binary tree is serialized as "{1,2,3,#,#,4,#,#,5}".递归方法
/**
* Definition for binary tree
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public List<Integer> inorderTraversal(TreeNode root) {
if(root == null){
List<Integer> list = new ArrayList<Integer>();
return list;
}
if(root.left==null&&root.right==null){
List<Integer> list = new ArrayList<Integer>();
list.add(root.val);
return list;
}
List<Integer> leftList = inorderTraversal(root.left);
List<Integer> rightList = inorderTraversal(root.right);
List<Integer> res = new ArrayList<>();
res.addAll(leftList);
res.add(root.val);
res.addAll(rightList);
return res;
}
}
stack维护
/**
* Definition for binary tree
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public List<Integer> inorderTraversal(TreeNode root) {
Stack<TreeNode> stack = new Stack<>();
List<Integer> res = new ArrayList<Integer>();
while(root!=null||!stack.isEmpty()){
if(root!=null){
stack.push(root);
root = root.left;
}else{
root = stack.pop();
res.add(root.val);
root = root.right;
}
}
return res;
}
}
[LeetCode]Binary Tree Inorder Traversal
原文地址:http://blog.csdn.net/guorudi/article/details/41315291