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  • 637. Average of Levels in Binary Tree(一棵树每层节点的平均数)(二叉树的层序遍历)

    Given a non-empty binary tree, return the average value of the nodes on each level in the form of an array.

    Example 1:

    Input:
        3
       / 
      9  20
        /  
       15   7
    Output: [3, 14.5, 11]
    Explanation:
    The average value of nodes on level 0 is 3,  on level 1 is 14.5, and on level 2 is 11. Hence return [3, 14.5, 11].
    

    Note:

    1. The range of node's value is in the range of 32-bit signed integer.

    这个题主要想总结一下bfs算法:

    广度优先遍历:类似于树的层序遍历。将根放入队列,一层层遍历,将根弹出后,将左右孩子加入队列。

    1、树的广度优先遍历:

    /**
     * Definition for a binary tree node.
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode(int x) { val = x; }
     * }
     */
    class Solution {
        public ArrayList<Integer> bfs(TreeNode root){
            ArrayList<Integer> list=new ArrayList<Integer>();
            if(root==null) return list;
            Queue<TreeNode> queue=new LinkedList<TreeNode>();
            queue.add(root);
            while (!queue.isEmpty()){
                TreeNode treeNode=queue.poll();
                if(treeNode.left!=null)  queue.add(treeNode.left);
                if(treeNode.right!=null)  queue.add(treeNode.right);
                list.add(treeNode.val);
            }
            return list;
        }
    }

    2、图的广度优先遍历

     以s为顶点的邻接表为:

      S -> A -> B

      A -> C -> D

      B -> E

    class Solution {
    static HashMap<Character,LinkedList<Character>> graph;//输入的邻接表
    static HashMap<Character,Integer> dirt;//距离集合
    public static void bfs(HashMap<Character,LinkedList<Character>> graph,
    HashMap<Character,Integer> dirt,char start){
    Queue<Character> queue=new LinkedList<Character>();
    queue.add(start);//把起点加入队列
    dirt.put(start,0);//记录每个节点距离顶点的距离
    while (!queue.isEmpty()){
    char top=queue.poll();//取出队列顶的元素
    int d=dirt.get(top)+1;
    for(Character c:graph.get(top)){
    if(!dirt.containsKey(c)){
    dirt.put(c,d);
    queue.add(c);
    }
    }
    }
    }
    public static void main(String[] args) {
    // s顶点的邻接表
    LinkedList<Character> list_s = new LinkedList<Character>();
    list_s.add('A');
    list_s.add('B');
    LinkedList<Character> list_a = new LinkedList<Character>();
    list_a.add('C');
    list_a.add('D');
    LinkedList<Character> list_b = new LinkedList<Character>();
    list_b.add('D');
    list_b.add('E');
    LinkedList<Character> list_c = new LinkedList<Character>();
    list_c.add('E');
    LinkedList<Character> list_d = new LinkedList<Character>();
    list_c.add('E');

    //构造图
    graph = new HashMap<Character, LinkedList<Character>>();
    graph.put('S', list_s);
    graph.put('A', list_a);
    graph.put('B', list_b);
    graph.put('C', list_c);
    graph.put('D', list_d);
    graph.put('E', new LinkedList<Character>());

    //调用
    dirt = new HashMap<Character, Integer>();
    bfs(graph, dirt, 'S');
    }
    }

     3、本题解法:

    /**
     * Definition for a binary tree node.
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode(int x) { val = x; }
     * }
     */
    class Solution {
        public List<Double> averageOfLevels(TreeNode root) {
            List<Double> result =new ArrayList<>();
            if(root==null) return result;
            Queue<TreeNode> queue=new LinkedList<TreeNode>();
            queue.add(root);
            
            while (!queue.isEmpty()){
                int cur=queue.size();
                double sum=0;
                for(int i=0;i<cur;i++){
                    TreeNode treeNode=queue.poll();
                    sum+=treeNode.val;
                    if(treeNode.left!=null)
                        queue.add(treeNode.left);
                    if(treeNode.right!=null)
                        queue.add(treeNode.right);
                }
                result.add(sum/cur);
            }
            return result;
        }
    }
    苟有恒,何必三更眠五更起;最无益,莫过一日暴十日寒。
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  • 原文地址:https://www.cnblogs.com/shaer/p/10674313.html
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