Binary Tree Level Order Traversal

Link: http://oj.leetcode.com/problems/binary-tree-level-order-traversal/

Given a binary tree, return the level order traversal of its nodes' values. (ie, from left to right, level by level).

For example:
Given binary tree {3,9,20,#,#,15,7},

    3
   / \
  9  20
    /  \
   15   7

 

return its level order traversal as:

[
  [3],
  [9,20],
  [15,7]
]

 

confused what "{1,#,2,3}" means? > read more on how binary tree is serialized on OJ.


OJ's Binary Tree Serialization:

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}".

 

 1 /**
 2  * Definition for binary tree
 3  * public class TreeNode {
 4  *     int val;
 5  *     TreeNode left;
 6  *     TreeNode right;
 7  *     TreeNode(int x) { val = x; }
 8  * }
 9  */
10 public class Solution {
11     public ArrayList<ArrayList<Integer>> levelOrder(TreeNode root) {
12         ArrayList<ArrayList<Integer>> result = new ArrayList<ArrayList<Integer>>();
13         if (root == null)
14             return result;
15         // the algo is based on bfs, here I need a queue data structure
16         ArrayList<TreeNode> queue = new ArrayList<TreeNode>();
17         queue.add(root);
18         ArrayList<Integer> root_value = new ArrayList<Integer>();
19         // this is a special case, the value of the root should
20         // be added first.
21         root_value.add(root.val);
22         result.add(root_value);//
23         while (!queue.isEmpty()) {
24             // all the nodes of the next level
25             ArrayList<TreeNode> next_level = new ArrayList<TreeNode>();
26             for (TreeNode t : queue) {
27                 // iterate through the queue
28                 ArrayList<TreeNode> temp_treenode = getChildren(t);
29                 // append all of the next level node to next_level
30                 next_level.addAll(temp_treenode);
31             }
32             // clear the queue
33             queue = new ArrayList<>();
34             // special case, if there's no next level nodes
35             if (next_level.size() != 0) {
36                 queue.addAll(next_level);
37                 result.add(getValue(next_level));
38             }
39         }
40         return result;
41     }
42 
43     public ArrayList<Integer> getValue(ArrayList<TreeNode> list) {
44         ArrayList<Integer> result = new ArrayList<Integer>();
45         for (TreeNode t : list) {
46             result.add(t.val);
47         }
48         return result;
49     }
50 
51     public ArrayList<TreeNode> getChildren(TreeNode root) {
52         ArrayList<TreeNode> result = new ArrayList<TreeNode>();
53         if (root.left != null)
54             result.add(root.left);
55         if (root.right != null)
56             result.add(root.right);
57         return result;
58     }
59 }

 

开始很纠结Queue的操作。。后来干脆遍历queue,遍历完清空queue,然后再把下一层的node再加入queue

posted on 2014-05-04 03:38  Atlas-Zzz  阅读(200)  评论(0编辑  收藏  举报

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