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  • 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 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.

    题目标签:Hash Table

      这道题让我们从两个list中找出相同的string并且它们的index sum是最小的,意思就是让我们找到他们两个都想吃的同一个饭店,并且这个饭店是他们排位里最靠前的。

    Step 1: 首先我们建立一个HashMap, 遍历list1, 把饭店string作为key, 把index作为value保存进map。

    Step 2: 建立一个HashSet, 遍历list2, 如果找到list2里的饭店string是在之前的map里的话,更新一下map的value = index1(之前的value) + index2(在list2里的);并且设一个min,在记录最小的index sum,把最小的饭店string保存进set里面。

        当找到一个相同的index sum = min的话,把这个饭店string加入set;当找到更小的min的时候,要把set清空,因为出现更小的index sum的饭店了,淘汰前面的饭店,重设min的值。

    Step 3: 此时set里的饭店名就是最靠前的并且是两个list都有的,设置一个string array把答案copy进去return。

        

    Java Solution:

    Runtime beats 69.17% 

    完成日期:06/07/2017

     1 public class Solution 
     2 {
     3     public String[] findRestaurant(String[] list1, String[] list2)
     4     {
     5         HashMap<String, Integer> map = new HashMap<>();
     6         
     7         // put list1's string as key, index as value.
     8         for(int i=0; i<list1.length; i++)
     9             map.put(list1[i], i);
    10         
    11         
    12             
    13         HashSet<String> set = new HashSet<>();
    14         
    15         int min = Integer.MAX_VALUE;
    16         
    17         // iterate list2 to see any string is in map
    18         for(int i=0; i<list2.length; i++)
    19         {
    20             if(map.get(list2[i]) != null)    // if list2's string is in map
    21             {
    22                 int j = map.get(list2[i]);
    23                 map.put(list2[i], i + j); // update map's value
    24                 
    25                 if(i+j == min)    // if find another same min value, add this string to set.
    26                     set.add(list2[i]);
    27                 else if(i+j < min)    // if find another smaller index
    28                 {
    29                     set.clear();    // clear the set.
    30                     set.add(list2[i]);    // add smaller index string into set.
    31                     min = i+j;    // update the min;
    32                 }
    33                     
    34                     
    35             }
    36         }
    37         
    38         String[] res = new String[set.size()];
    39         
    40         int i=0;
    41         for(String s : set)
    42         {
    43             res[i] = s;
    44             i++;
    45         }
    46         
    47         
    48         return res;
    49     }
    50 }

    参考资料:

    http://blog.csdn.net/kangbin825/article/details/72794253

    LeetCode 算法题目列表 - LeetCode Algorithms Questions List

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  • 原文地址:https://www.cnblogs.com/jimmycheng/p/7071760.html
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