Given a binary tree, collect a tree's nodes as if you were doing this: Collect and remove all leaves, repeat until the tree is empty.

Example:
Given binary tree

      1
/ \
2 3
/ \
4 5

Returns [4, 5, 3], [2], [1].

Explanation:

  1. Removing the leaves [4, 5, 3] would result in this tree:

     1
    /

    2

  2. Now removing the leaf [2] would result in this tree:

    1
  3. Now removing the leaf [1] would result in the empty tree:

    []

    Returns [4, 5, 3], [2], [1].

 class TreeNode {
int val;
TreeNode left;
TreeNode right; TreeNode(int x) {
val = x;
}
}; class Solution {
public List<List<Integer>> findLeaves(TreeNode root) {
List<List<Integer>> listAll = new ArrayList<List<Integer>>();
while (root != null) {
List<Integer> list = new ArrayList<Integer>();
root = helper(list, root);
listAll.add(new ArrayList<Integer>(list));
} return listAll;
} private TreeNode helper(List<Integer> list, TreeNode root) {
if (root == null)
return null; if (root.left == null && root.right == null) {
list.add(root.val);
return null;
} root.left = helper(list, root.left);
root.right = helper(list, root.right); return root;
}
}

下面这种方法是不会移除leaves的。

 /**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public List<List<Integer>> findLeaves(TreeNode root) {
List<List<Integer>> res = new ArrayList<>();
height(root, res);
return res;
}
private int height(TreeNode node, List<List<Integer>> res){
if(null==node) return ;
int level = + Math.max(height(node.left, res), height(node.right, res));
if(res.size() == level - ) res.add(new ArrayList<>());
res.get(level - ).add(node.val);
return level;
}
}

Find Leaves of Binary Tree的更多相关文章

  1. [LeetCode] Find Leaves of Binary Tree 找二叉树的叶节点

    Given a binary tree, find all leaves and then remove those leaves. Then repeat the previous steps un ...

  2. Leetcode: Find Leaves of Binary Tree

    Given a binary tree, collect a tree's nodes as if you were doing this: Collect and remove all leaves ...

  3. 366. Find Leaves of Binary Tree

    Given a binary tree, collect a tree's nodes as if you were doing this: Collect and remove all leaves ...

  4. 366. Find Leaves of Binary Tree C#

    Example:Given binary tree 1 / \ 2 3 / \ 4 5 Returns [4, 5, 3], [2], [1]. Explanation: 1. Removing th ...

  5. 366. Find Leaves of Binary Tree输出层数相同的叶子节点

    [抄题]: Given a binary tree, collect a tree's nodes as if you were doing this: Collect and remove all ...

  6. [leetcode]366. Find Leaves of Binary Tree捡树叶

    Given a binary tree, collect a tree's nodes as if you were doing this: Collect and remove all leaves ...

  7. LeetCode 366. Find Leaves of Binary Tree

    原题链接在这里:https://leetcode.com/problems/find-leaves-of-binary-tree/#/description 题目: Given a binary tr ...

  8. [LeetCode] 366. Find Leaves of Binary Tree 找二叉树的叶节点

    Given a binary tree, find all leaves and then remove those leaves. Then repeat the previous steps un ...

  9. 【leetcode】366.Find Leaves of Binary Tree

    原题 Given a binary tree, collect a tree's nodes as if you were doing this: Collect and remove all lea ...

随机推荐

  1. oracle练习题后15个

    31,32题更正: SQL> --31. 查询所有教师和同学的name.sex和birthday. SQL> select sname, ssex, sbirthday from stud ...

  2. Java Web-session介绍

    使用情况 Session对象记载某一特定的客户信息,不同的客户用不同的Session对象来记载 Session对象有效期:默认为20分钟,可设定 Session工作原理:在应用程序中,当客户端启动一个 ...

  3. BZOJ-2049 Cave洞穴勘测 动态树Link-Cut-Tree (并查集骗分TAT)

    2049: [Sdoi2008]Cave 洞穴勘测 Time Limit: 10 Sec Memory Limit: 259 MB Submit: 5833 Solved: 2666 [Submit] ...

  4. Spring+C3P0数据库连接池配置

    一.xml文件读取.properties文件连接数据库 1.xml文件中的配置 <bean id="dataSourceLocal" name="dataSourc ...

  5. spring获取ApplicationContext对象的方法——ApplicationContextAware

    一. 引言 工作之余,在看一下当年学的spring时,感觉我们以前都是通过get~ set~方法去取spring的Ioc取bean,今天就想能不能换种模型呢?因为我们在整合s2sh时,也许有那么一天就 ...

  6. 【uoj150】 NOIP2015—运输计划

    http://uoj.ac/problem/150 (题目链接) 题意 给出一棵树以及m个询问,可以将树上一条边的权值修改为0,求经过这样的修改之后最长的边最短是多少. Solution 老早就听说过 ...

  7. POJ1065 Area

    Time Limit: 1000MS   Memory Limit: 10000K Total Submissions: 18499   Accepted: 5094 Description You ...

  8. 走进科学 WAF(Web Appllication Firewall)

    1. 前言 当WEB应用越来越为丰富的同时,WEB 服务器以其强大的计算能力.处理性能及蕴含的较高价值逐渐成为主要攻击目标.SQL注入.网页篡改.网页挂马等安全事件,频繁发生. 企业等用户一般采用防火 ...

  9. 将Spark中CompactBuf转换为String

    val rdd = sc.textFile("hdfs://hbase11:9000/sparkTsData/ipsoftware/wincc").map{ line => ...

  10. HTML 5 应用程序缓存

    使用 HTML5,通过创建 cache manifest 文件,可以轻松地创建 web 应用的离线版本. 什么是应用程序缓存(Application Cache)? HTML5 引入了应用程序缓存,这 ...