117. Populating Next Right Pointers in Each Node II

栏目: 数据库 · 发布时间: 7年前

内容简介:Given a binary treestruct Node {int val;

Given a binary tree

struct Node {

int val;

Node *left;

Node *right;

Node *next;

}

Populate each next pointer to point to its next right node. If there is no next right node, the next pointer should be set to NULL.

Initially, all next pointers are set to NULL.

Example:

Input: {"$id":"1","left":{"$id":"2","left":{"$id":"3","left":null,"next":null,"right":null,"val":4},"next":null,"right":{"$id":"4","left":null,"next":null,"right":null,"val":5},"val":2},"next":null,"right":{"$id":"5","left":null,"next":null,"right":{"$id":"6","left":null,"next":null,"right":null,"val":7},"val":3},"val":1}

Output: {"$id":"1","left":{"$id":"2","left":{"$id":"3","left":null,"next":{"$id":"4","left":null,"next":{"$id":"5","left":null,"next":null,"right":null,"val":7},"right":null,"val":5},"right":null,"val":4},"next":{"$id":"6","left":null,"next":null,"right":{"$ref":"5"},"val":3},"right":{"$ref":"4"},"val":2},"next":null,"right":{"$ref":"6"},"val":1}

Explanation: Given the above binary tree (Figure A), your function should populate each next pointer to point to its next right node, just like in Figure B.

Note:

1. You may only use constant extra space.
2. Recursive approach is fine, implicit stack space does not count as extra space for this problem.

难度:medium

题目:给定二叉树,计算结点指向其相邻右结点的下一跳指针。如果没有相邻的右结点则next为NULL.

思路:递归

Runtime: 3 ms, faster than 18.40% of Java online submissions for Populating Next Right Pointers in Each Node II.

Memory Usage: 51.8 MB, less than 100.00% of Java online submissions for Populating Next Right Pointers in Each Node II.

/*
// Definition for a Node.
class Node {
    public int val;
    public Node left;
    public Node right;
    public Node next;

    public Node() {}

    public Node(int _val,Node _left,Node _right,Node _next) {
        val = _val;
        left = _left;
        right = _right;
        next = _next;
    }
};
*/
class Solution {
    public Node connect(Node root) {
        Node ptr = root;
        while (ptr != null) {
            ptr = buildNodeNext(ptr);
        }
        
        return root;
    }
    
    private Node buildNodeNext(Node head) {
        if (null == head) {
            return null;
        }
        Node nextLevelLeftMost = buildNodeNext(head.next);
        Node left = head.left;
        Node right = head.right;
        if (left != null && right != null) {
            left.next = right;
            right.next = nextLevelLeftMost;
            return left;
        }
        
        if (left != null && right == null) {
            left.next = nextLevelLeftMost;
            return left;
        } 
        
        if (left == null && right != null) {
            right.next = nextLevelLeftMost;
            return right;
        }
        
        return nextLevelLeftMost;
    }
}

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网

查看所有标签

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们。

算法V

算法V

塞奇威克 (Robert Sedgewick) / 中国电力出版社 / 2003-12 / 54.0

Robert Sedgewick再次给我们提供了重要的流行算法的全面介绍。这次的重点是图形算法,图形算法在很多应用中已日益重要,诸如网络连接、电路设计、调度、事务处理以及资源分配。本书中,Sedgewick同样用简洁的实现将理论和实践成功地结合了起来,这些实现均可在真实应用上测试,这也正是他的著作多年来倍受程序员欢迎的原因。   本书是Sedgewick彻底修订和重写的丛书中的第二本。第一本......一起来看看 《算法V》 这本书的介绍吧!

JSON 在线解析
JSON 在线解析

在线 JSON 格式化工具

UNIX 时间戳转换
UNIX 时间戳转换

UNIX 时间戳转换

HEX HSV 转换工具
HEX HSV 转换工具

HEX HSV 互换工具