[LeetCode] Shortest Word Distance II

本文介绍了一种通过哈希映射存储单词索引的方法来优化重复调用的短词距离查询算法。通过预处理单词及其在列表中的位置,实现快速查找两个指定单词之间的最短距离。

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Problem Description:

This is a follow up of Shortest Word Distance. The only difference is now you are given the list of words and your method will be called repeatedly many times with different parameters. How would you optimize it?

Design a class which receives a list of words in the constructor, and implements a method that takes two words word1 and word2 and return the shortest distance between these two words in the list.

For example,
Assume that words = ["practice", "makes", "perfect", "coding", "makes"].

Given word1 = "coding”word2 = "practice”, return 3.
Given word1 = "makes"word2 = "coding", return 1.

Note:
You may assume that word1 does not equal to word2, and word1 and word2 are both in the list.


The key idea is to store the indexes of each word using a hash map. Then the function shortest() is just to find the minimum difference between two sorted lists (see here for a method).

The code is as follows.

 1 class WordDistance {
 2 public:
 3     WordDistance(vector<string> words) {
 4         int n = words.size();
 5         for (int i = 0; i < n; i++)
 6             wordInd[words[i]].push_back(i);
 7     }
 8 
 9     int shortest(string word1, string word2) {
10         vector<int> indexes1 = wordInd[word1];
11         vector<int> indexes2 = wordInd[word2];
12         int m = indexes1.size(), n = indexes2.size();
13         int i = 0, j = 0, dist = INT_MAX;
14         while (i < m && j < n) {
15             dist = min(dist, abs(indexes1[i] - indexes2[j]));
16             if (indexes1[i] < indexes2[j]) i++;
17             else j++;
18         }
19         return dist;
20     }
21 private:
22     unordered_map<string, vector<int> > wordInd;
23 };
24 
25 
26 // Your WordDistance object will be instantiated and called as such:
27 // WordDistance wordDistance(words);
28 // wordDistance.shortest("word1", "word2");
29 // wordDistance.shortest("anotherWord1", "anotherWord2");

 

转载于:https://www.cnblogs.com/jcliBlogger/p/4705282.html

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