Suppose Andy and Doris want to choose a restaurant for dinner, and they both have a list of favorite restaurants
represented by strings.
You need to help them find out their common interest with the least list index sum.
If there is a choice tie between answers, output all of them with no order requirement.
You could assume there always exists an answer.
Example 1:
Input:
["Shogun", "Tapioca Express", "Burger King", "KFC"]
["Piatti", "The Grill at Torrey Pines", "Hungry Hunter Steakhouse", "Shogun"]
Output: ["Shogun"]
Explanation: The only restaurant they both like is "Shogun".
Example 2:
Input:
["Shogun", "Tapioca Express", "Burger King", "KFC"]
["KFC", "Shogun", "Burger King"]
Output: ["Shogun"]
Explanation: The restaurant they both like and have the least index sum is "Shogun" with index sum 1 (0+1).
Note:
The length of both lists will be in the range of [1, 1000].
The length of strings in both lists will be in the range of [1, 30].
The index is starting from 0 to the list length minus 1.
No duplicates in both lists.

思路:

主要是用map记录字符串出现次数,以及记录字符串对应的下标。

感觉写的太啰嗦,待优化。

vector<string> findRestaurant(vector<string>& list1, vector<string>& list2)
{
vector<string>res;
map<string,int>restaurant;//记录是否 饭店出现次数。如果>1
map<string,int>index1;//记录饭店1索引
map<string,int>index2;//记录饭店2索引
map<string,int>::iterator it;
for(int i=;i<list1.size();i++)
{
index1[list1[i]] = i;
restaurant[list1[i]]++;
}
for(int i=;i<list2.size();i++)
{
index2[list2[i]] = i;
restaurant[list2[i]]++;
}
int indexsum = ;
for(it =restaurant.begin();it!=restaurant.end();it++)
{
if(it->second ==)
{
if(index1[it->first] + index2[it->first] <indexsum)
{
indexsum =index1 [it->first] + index2[it->first];
res.clear();
res.push_back(it->first);
}
else if(index1[it->first] + index2[it->first] == indexsum)
{
indexsum =index1 [it->first] + index2[it->first];
res.push_back(it->first);
}
}
}
return res;
}

[leetcode-599-Minimum Index Sum of Two Lists]的更多相关文章

  1. LeetCode 599. Minimum Index Sum of Two Lists (从两个lists里找到相同的并且位置总和最靠前的)

    Suppose Andy and Doris want to choose a restaurant for dinner, and they both have a list of favorite ...

  2. 【Leetcode_easy】599. Minimum Index Sum of Two Lists

    problem 599. Minimum Index Sum of Two Lists 题意:给出两个字符串数组,找到坐标位置之和最小的相同的字符串. 计算两个的坐标之和,如果与最小坐标和sum相同, ...

  3. 【LeetCode】599. Minimum Index Sum of Two Lists 解题报告(Python)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 方法一:找到公共元素再求索引和 方法二:索引求和,使 ...

  4. [LeetCode&Python] Problem 599. Minimum Index Sum of Two Lists

    Suppose Andy and Doris want to choose a restaurant for dinner, and they both have a list of favorite ...

  5. 599. Minimum Index Sum of Two Lists

    Suppose Andy and Doris want to choose a restaurant for dinner, and they both have a list of favorite ...

  6. 599. Minimum Index Sum of Two Lists(easy)

    Suppose Andy and Doris want to choose a restaurant for dinner, and they both have a list of favorite ...

  7. 599. Minimum Index Sum of Two Lists两个餐厅列表的索引和最小

    [抄题]: Suppose Andy and Doris want to choose a restaurant for dinner, and they both have a list of fa ...

  8. LC 599. Minimum Index Sum of Two Lists

    题目描述 Suppose Andy and Doris want to choose a restaurant for dinner, and they both have a list of fav ...

  9. LeetCode 599: 两个列表的最小索引总和 Minimum Index Sum of Two Lists

    题目: 假设 Andy 和 Doris 想在晚餐时选择一家餐厅,并且他们都有一个表示最喜爱餐厅的列表,每个餐厅的名字用字符串表示. Suppose Andy and Doris want to cho ...

  10. [LeetCode] Minimum Index Sum of Two Lists 两个表单的最小坐标和

    Suppose Andy and Doris want to choose a restaurant for dinner, and they both have a list of favorite ...

随机推荐

  1. java图片上传(mvc)

    最近有开始学起了java,好久没写文章了,好久没来博客园了.最近看了看博客园上次写的图片上传有很多人看,今天在一些篇关于java图片上传的.后台接收用的是mvc.不墨迹了,直接上图. 先看目录结构.i ...

  2. Jenkins 发布后自动创建git tag

    为了便于项目中对发布的版本进行回滚,所以我们每次发布完成以后自动创建git tag. 1,创建一个Jenkins任务,命名成为push_tag_demo: 2,配置<源码管理>,这里配置比 ...

  3. 使用NetronGraphLib类库开发Qfd质量屋编制工具

    前言 可执行文件下载 QfdHouse-exe.zip 因项目需要做了一个质量功能配置(Quality Function Deployment 简称Qfd)的质量屋编制工具软件,本软件是在发布一个免费 ...

  4. ubuntu16.04的下载安装

    工具/原料   ubuntu-16.04-desktop-amd64.iso ubuntu-16.04-desktop-i386.iso UltraISO最新版 (自己找渠道去下载,用来将镜像文件烧到 ...

  5. elasticsearch系列(四)部署

    本文采用tar包的方式部署es 准备jdk8的环境 5.4.0的es依赖jdk8及以上版本 下载linux版的jdk jdk-8u121-linux-x64.tar.gz tar -zvxf jdk- ...

  6. vue组件之间的通信以及如何在父组件中调用子组件的方法和属性

    在Vue中组件实例之间的作用域是孤立的,以为不能直接在子组件上引用父组件的数据,同时父组件也不能直接使用子组件的数据 一.父组件利用props往子组件传输数据 父组件: <div> < ...

  7. ASP.NET MVC Filter的思考

    思考了一下AOP的具体实现,后来想到ASP.NET MVC过滤器其实就是AOP的一种,于是从Filter下手研究AOP. 暂时先考虑AuthorizationFilter,ActionFilter,R ...

  8. nodejs服务实现反向代理,解决本地开发接口请求跨域问题

    前后端分离项目需要解决第一个问题就是,前端本地开发时如何解决通过ajax请求产生的跨域的问题.一般的做法是通过本地配置nginx反向代理进行处理的,除此之外,还可以通过nodejs来进行代理接口.当然 ...

  9. centos6.5 ssh免密码登陆

    ssh-keygen -t rsa ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop1

  10. Java之反射代码演示说明

    还不存在的类–即我们需要使用反射来使用的类 Person类: package com.qf.demo4; public class Person { private String name; publ ...