Given an array of strings, return all groups of strings that are anagrams. All inputs will be in lower case.
What is Anagram?
- Two strings are anagram if they can be the same after change the order of characters.
Example
Given ["lint", "intl", "inlt", "code"], return ["lint", "inlt", "intl"].
Given ["ab", "ba", "cd", "dc", "e"], return ["ab", "ba", "cd", "dc"].
Solution 1. Brute Force
The most straightforward solution is to from left to right, fix a string, and compare it with all the remaining
not-added strings on its right side. (By checking only the strings on its right side, we avoid the possiblity of
adding duplicate strings.)If found any anagrams, add this string and its anagrams to the result list and mark
them as added. Repeat this until we've checked all strings.
This solution is not efficient, with a runtime of O(n^2 * k), where n is the number of strings, k is the average
length of each string.
Solution 2.
For a string and all its possible anagram strings, we have k! different permutations. (assuming only distinct characters for simplicity)
For a group of anagrams, if we fix one order, say ascending by sorting, we will only have to scan through the input list of strings
once.
1. Create a hash map. Its keys are the ascending order of a string, its values are a list of all the anagrams of its keys.
2. For each string, sort it, use this sorted string as key and add the unsorted string to the list of anagrams strings.
3. Scan through the hash map and add all lists that have more than 1 string to the final result.
This solution has a O(n * k * log k) runtime and O(n) space usage.
1 public class Solution { 2 public List<String> anagrams(String[] strs) { 3 List<String> result = new ArrayList<String>(); 4 if(strs == null || strs.length == 0){ 5 return result; 6 } 7 HashMap<String, ArrayList<String>> hashmap = new HashMap<String, ArrayList<String>>(); 8 for(String s : strs){ 9 char[] chars = s.toCharArray(); 10 Arrays.sort(chars); 11 String sortedStr = String.valueOf(chars); 12 if(hashmap.containsKey(sortedStr)){ 13 hashmap.get(sortedStr).add(s); 14 } 15 else{ 16 ArrayList<String> list = new ArrayList<String>(); 17 list.add(s); 18 hashmap.put(sortedStr, list); 19 } 20 } 21 for(String s : hashmap.keySet()){ 22 ArrayList<String> list = hashmap.get(s); 23 if(list.size() > 1){ 24 result.addAll(list); 25 } 26 } 27 return result; 28 } 29 }
Related Problems
本文介绍了一种高效算法,用于从字符串数组中找出所有的异位词组。通过使用哈希映射并排序每个字符串,该算法能在O(n*k*logk)的时间复杂度内解决问题,其中n为字符串数量,k为字符串平均长度。
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