Algorithmic anagrams

Algorithmic anagrams involve using algorithms—step-by-step computational procedures—to determine if two words or phrases are anagrams. This typically includes converting both words to a standard format (like lowercase), rearranging or counting characters, and then comparing these counts. If the character counts match, the words are anagrams; if not, they aren't. The process automates the classification of anagrams quickly and accurately, often using data structures like dictionaries or arrays to tally character frequencies, enabling efficient comparison across large datasets or real-time applications.