描述:递归调用,getMax返回 [节点值,经过节点左子节点的最大值,经过节点右节点的最大值],每次递归同时查看是否存在不经过节点的值大于max。

代码:待优化

     def getLargeNode(self, a, b):
if a and b:
return max(a, b)
elif a and not b:
return a
elif not a and b:
return b
else:
tmp = None def getMax(self, node):
if node is None:
return [None, None, None] left = self.getMax(node.left)
right = self.getMax(node.right) pass_node_max = node.val
if left[0] is not None:
if left[1] > self.maxPath:
self.maxPath = item
if left[2] > self.maxPath:
self.maxPath = item tmp = self.getLargeNode(left[1], left[2]) if tmp is not None:
if tmp <= 0 and left[0] <= 0:
left_val = left[0]
elif tmp > 0 and left[0] <= 0:
left_val = left[0] + tmp
if tmp + left[0] > 0:
pass_node_max += left_val
elif tmp <= 0 and left[0] > 0:
left_val = left[0]
pass_node_max += left_val
else:
left_val = left[0] + tmp
pass_node_max += left_val
else:
left_val = left[0]
if left[0] > 0:
pass_node_max += left[0]
else:
left_val = None if right[0] is not None:
if right[1] > self.maxPath:
self.maxPath = right[1]
if right[2] > self.maxPath:
self.maxPath = right[1] tmp = self.getLargeNode(right[1], right[2]) if tmp is not None:
if tmp <= 0 and right[0] <= 0:
right_val = right[0]
elif tmp > 0 and right[0] <= 0:
right_val = right[0] + tmp
if tmp + right[0] > 0:
pass_node_max += right_val
elif tmp <= 0 and right[0] > 0:
right_val = right[0]
pass_node_max += right_val
else:
right_val = right[0] + tmp
pass_node_max += right_val
else:
right_val = right[0]
if right[0] > 0:
pass_node_max += right[0]
else:
right_val = None if pass_node_max > self.maxPath:
self.maxPath = pass_node_max return [node.val, left_val, right_val] def maxPathSum(self, root):
self.maxPath = root.val
if not(root.left or root.right):
return self.maxPath result = self.getMax(root) root_val = root.val
if result[1] > 0:
root_val += result[1]
if result[2] > 0:
root_val += result[2]
if root_val > self.maxPath:
self.maxPath = root_val if result[1] > self.maxPath:
self.maxPath = result[1]
if result[2] > self.maxPath:
self.maxPath = result[2] return self.maxPath

#Leet Code# Binary Tree Max[待精简]的更多相关文章

  1. (算法)Binary Tree Max Path Sum

    题目: Given a binary tree, find the maximum path sum. For this problem, a path is defined as any seque ...

  2. #Leet Code# Same Tree

    语言:Python 描述:使用递归实现 # Definition for a binary tree node # class TreeNode: # def __init__(self, x): # ...

  3. #Leet Code# Unique Tree

    语言:Python 描述:使用递归实现 class Solution: # @return an integer def numTrees(self, n): : elif n == : else: ...

  4. Leet Code OJ 226. Invert Binary Tree [Difficulty: Easy]

    题目: Invert a binary tree. 4 / \ 2 7 / \ / \ 1 3 6 9 to 4 / \ 7 2 / \ / \ 9 6 3 1 思路分析: 题意是将二叉树全部左右子数 ...

  5. [Algorithm] Find Max Items and Max Height of a Completely Balanced Binary Tree

    A balanced binary tree is something that is used very commonly in analysis of computer science algor ...

  6. Cracking the Code Interview 4.3 Array to Binary Tree

    Given a sorted (increasing order) array, write an algorithm to create a binary tree with minimal hei ...

  7. Google Code Jam 2014 Round 1 A:Problem B. Full Binary Tree

    Problem A tree is a connected graph with no cycles. A rooted tree is a tree in which one special ver ...

  8. 一道算法题目, 二行代码, Binary Tree

    June 8, 2015 我最喜欢的一道算法题目, 二行代码. 编程序需要很强的逻辑思维, 多问几个为什么, 可不可以简化.想一想, 二行代码, 五分钟就可以搞定; 2015年网上大家热议的 Home ...

  9. leetcode : Binary Tree Paths

    Given a binary tree, return all root-to-leaf paths. For example, given the following binary tree: 1 ...

随机推荐

  1. JavaScript实现遮罩层

    <!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <title> ...

  2. 基于Unity3D的AOP使用思路

    考虑到AOP的特性,并参考Python的装饰模式(AOP类似),在做开发时,可以使用AOP的思想做一些工作上的简化(比如:运行时的Range属性.内存/存档加密属性等等). 但是AOP(使用的Post ...

  3. Cookie案例分析

    一.案例- 显示用户上次访问的时间 当用户第一次访问该页面的时候提示:你好,你是第一次访问本页面,当前时间为:2016-11-3 22:10:30 第n次访问该页面时:欢迎回来,你上次访问的时间是:2 ...

  4. JMeter入门(1):JMeter总体介绍及组件介绍

    一.JMeter概述 JMeter就是一个测试工具,相比于LoadRunner等测试工具,此工具免费,且比较好用,但是前提当然是安装Java环境: JMeter可以做 (1)压力测试及性能测试: (2 ...

  5. java -Xmx3550m -Xms3550m -Xmn2g -Xss128k

    java -Xmx3550m -Xms3550m -Xmn2g -Xss128k1.-Xmx3550m:设置JVM最大可用内存为3550M.2.-Xms3550m:设置JVM促使内存为3550m.此值 ...

  6. 从源码角度深入理解Handler

    为了获得良好的用户体验,Android不允许开发者在UI线程中调用耗时操作,否则会报ANR异常,很多时候,比如我们要去网络请求数据,或者遍历本地文件夹都需要我们在新线程中来完成,新线程中不能更新UI, ...

  7. windows 进程间通讯方法

    Windows平台为我们提供了多种进程间通信的机制,主要包括:注册表方式.共享文件方式.共享内存方式.共享数据段.映射文件方式.管道方式. 剪贴板方式.消息方式.其中注册表方式需要增加注册表表项,而注 ...

  8. Java基础知识强化之集合框架笔记56:Map集合之HashMap集合(HashMap<String,Student>)的案例

    1. HashMap集合(HashMap<String,Student>)的案例 HashMap是最常用的Map集合,它的键值对在存储时要根据键的哈希码来确定值放在哪里. HashMap的 ...

  9. HDU-1015(暴力)

    Safecracker Problem Description === Op tech briefing, 2002/11/02 06:42 CST === "The item is loc ...

  10. 消息中间件MQ基础理论知识

    欢迎转载,转载请注明出处:http://www.cnblogs.com/lidabnu/p/5723280.html 消息中间件已经流行很长时间,一般情况下,不需要自己来从头研发.设计消息中间件,所以 ...