Anagrams Algorithm

The Anagrams Algorithm is a technique used to identify, generate, or manipulate words or phrases that are formed by rearranging the letters of another word or phrase. This algorithm is particularly useful in word games, cryptography, and natural language processing tasks, as it can reveal hidden meanings or potential word associations by examining the various combinations of characters in a given input. The core idea behind the algorithm is to compare the sorted versions of words or phrases, as anagrams share the same set of characters in a different order. The algorithm can be implemented using various data structures like hash tables or dictionaries, depending on the specific use case and requirements. In a typical implementation of the Anagrams Algorithm, the input words or phrases are first preprocessed by removing spaces and converting all characters to lowercase. Then, the characters in each word or phrase are sorted to create a standardized representation. These sorted representations are used as keys to store the original words in a hash table or dictionary. When searching for anagrams, the algorithm looks up the sorted representation of the input word in the hash table or dictionary, and retrieves the list of words that share the same sorted representation. This list represents the anagrams of the input word. The algorithm can be further optimized by using prime numbers to generate unique keys for anagrams or employing advanced data structures like tries to efficiently store and retrieve anagram groups.
class Solution {
public:
    vector<string> anagrams(vector<string> &strs) {
        vector<string> result;
        map<string, int> exists;
        for (int i = 0; i < strs.size(); i++) {
            string u = strs[i];
            sort(u.begin(), u.end());
            if (exists.find(u) == exists.end()) {
                exists[u] = i;
            } else {
                if (exists[u] >= 0) {
                    result.push_back(strs[exists[u]]);
                    exists[u] = -1;
                }
                result.push_back(strs[i]);
            }
        }
        return result;
    }
};

LANGUAGE:

DARK MODE: