[LeetCode] Valid Anagram

 


Hash Table

This idea uses a hash table to record the times of appearances of each letter in the two stringss and t. For each letter in s, it increases the counter by 1 while for each letter in t, it decreases the counter by 1. Finally, all the counters will be 0 if they two are anagrams of each other.

The first implementation uses the built-in unordered_map and takes 36 ms.

 1 class Solution {
 2 public:
 3     bool isAnagram(string s, string t) {
 4         if (s.length() != t.length()) return false;
 5         int n = s.length();
 6         unordered_map<char, int> counts;
 7         for (int i = 0; i < n; i++) {
 8             counts[s[i]]++;
 9             counts[t[i]]--;
10         }
11         for (auto count : counts)
12             if (count.second) return false;
13         return true;
14     }
15 };

Since the problem statement says that "the string contains only lowercase alphabets", we can simply use an array to simulate the unordered_map and speed up the code. The following implementation takes 12 ms.

 1 class Solution {
 2 public:
 3     bool isAnagram(string s, string t) {
 4         if (s.length() != t.length()) return false;
 5         int n = s.length();
 6         int counts[26] = {0};
 7         for (int i = 0; i < n; i++) { 
 8             counts[s[i] - 'a']++;
 9             counts[t[i] - 'a']--;
10         }
11         for (int i = 0; i < 26; i++)
12             if (counts[i]) return false;
13         return true;
14     }
15 };

Sorting

For two anagrams, once they are sorted in a fixed order, they will become the same. This code is much shorter (this idea can be done in just 1 line using Python as here). However, it takes much longer time --- 76 ms in C++.

1 class Solution {
2 public:
3     bool isAnagram(string s, string t) {
4         sort(s.begin(), s.end());
5         sort(t.begin(), t.end());
6         return s == t; 
7     }
8 };

 

posted @ 2015-08-01 14:14  jianchao-li  阅读(292)  评论(0编辑  收藏  举报