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:

  1. The length of both lists will be in the range of [1, 1000].
  2. The length of strings in both lists will be in the range of [1, 30].
  3. The index is starting from 0 to the list length minus 1.
  4. No duplicates in both lists.
/*
暴力的话O(n^2),可以利用hashtable,用空间来换时间。
*/
class Solution {
public:
vector<string> findRestaurant(vector<string>& list1, vector<string>& list2) {
vector<string> res;
map<string, int> data;
int minval = INT_MAX;
for (int i = ; i < list1.size(); i++){ // 存入hashtable中
data.insert(pair<string, int>(list1[i], i));
}
for (int i = ; i < list2.size(); i++){
if (data.find(list2[i]) != data.end()){
if (data[list2[i]] + i < minval){
minval = data[list2[i]] + i;
res.clear();
res.push_back(list2[i]);
}else if (data[list2[i]] + i == minval){
res.push_back(list2[i]);
}
}
}
return res;
}
};

599. Minimum Index Sum of Two Lists(easy)的更多相关文章

  1. 【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, ...

  2. 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 ...

  3. 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 ...

  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. 【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 ...

  6. 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 ...

  7. 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 ...

  8. 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 ...

  9. [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. 用户及用户组管理(week1_day4)--技术流ken

    本节内容 useradd userdel usermod groupadd groupdel 用户管理 为什么需要有用户? 1. linux是一个多用户系统 2. 权限管理(权限最小化) 用户:存在的 ...

  2. JS_正则表达式_获取指定字符之后指定字符之前的字符串

    一个常见的场景,获取:标签背景图片链接: 如字符串:var bgImg = "url(\"https://img30.360buyimg.com/sku/jfs/t26203/26 ...

  3. Android破解学习之路(十二)—— GP录像汉化过程及添加布局

    前言 最近闲着发慌,想起了很久之前就想汉化的一款录像APP,APP大小不到1MB,但是好用,本期就给大家带来汉化的基本步骤以及如何在APP中添加我们汉化的信息 汉化思路 查找关键字 关键字挺好找的,由 ...

  4. 【转】三个案例带你看懂LayoutInflater中inflate方法两个参数和三个参数的区别

    关于inflate参数问题,我想很多人多多少少都了解一点,网上也有很多关于这方面介绍的文章,但是枯燥的理论或者翻译让很多小伙伴看完之后还是一脸懵逼,so,我今天想通过三个案例来让小伙伴彻底的搞清楚这个 ...

  5. 【JVM】问题排查

    jetty的调用场景是:为了支持Servlet规范中的注解方式(使得不再需要在web.xml文件中进行Servlet的部署描述,简化开发流程),jetty在启动时会扫描class.lib包,将使用注解 ...

  6. WEB前端 HTML

    目录 WEB前端 HTML WEB前端 HTML TOC 什么是html? html的固有结构 注释 什么是标签? 标签分类 什么是标签属性? 适用于大多数HTML标签的属性 常用标签 常用引用标签 ...

  7. 驰骋工作流引擎JFlow与activiti的对比 -总结

    共同点: 1. 嵌入式的工作流引擎,降低集群复杂性. 2. 严格而灵活的流程版本控制 3. 支持多种数据库 4. 支持多种流程设计模式 5. 成熟度高的开源工作流,具有可靠的稳定性和性能. 区别: 1 ...

  8. 用WijmoJS搭建您的前端Web应用 —— React

    前文回顾 在本系列文章中,我们已经介绍了Angular和Vue框架下 WijmoJS 的玩法. 而今天,我们将展示如何使用 WijmoJS 来搭建一款具备独特创新性.出色性能和简单代码逻辑的 Reac ...

  9. iOS----------UITextField实现过滤选中状态拼音

    2018年上班的第二天,就这样背了一个大锅.我们项目中有一个搜索功能,在这一期的版本中,为了增强优化,去除了过滤空格的请求,这样或许能增加很好的用户体验,恰恰相反,偷鸡不成蚀把米.没想到苹果系统的输入 ...

  10. spring学习总结——高级装配学习四(运行时:值注入、spring表达式)

    前言: 当讨论依赖注入的时候,我们通常所讨论的是将一个bean引用注入到另一个bean的属性或构造器参数中.bean装配的另外一个方面指的是将一个值注入到bean的属性或者构造器参数中.在没有学习使用 ...