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An anagram is a word or phrase formed by rearranging the letters of a different word or phrase, typically using all the original letters exactly once. [1] For example, the word anagram itself can be rearranged into the phrase "nag a ram"; which is an Easter egg suggestion in Google after searching for the word "anagram". [2]
HackerRank's programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, and JavaScript) and span multiple computer science domains. [ 2 ] HackerRank categorizes most of their programming challenges into a number of core computer science domains, [ 3 ] including database management ...
An anatree [1] is a data structure designed to solve anagrams. Solving an anagram is the problem of finding a word from a given list of letters. These problems are commonly encountered in word games like Scrabble or in newspaper crossword puzzles. The problem for the wordwheel also has the condition that the central letter appear in all the ...
The first such anagram dictionary was The Crossword Anagram Dictionary by R.J. Edwards [1] In the other kind of anagram dictionary, words are categorized into equivalence classes that consist of words with the same number of each kind of letter. Thus words will only appear when other words can be made from the same letters.
An English language pangram being used to demonstrate the Bitstream Vera Sans typeface. The best-known English pangram is "The quick brown fox jumps over the lazy dog". [1]It has been used since at least the late 19th century [1] and was used by Western Union to test Telex/TWX data communication equipment for accuracy and reliability. [2]
A Lychrel number is a natural number that cannot form a palindrome through the iterative process of repeatedly reversing its digits and adding the resulting numbers. This process is sometimes called the 196-algorithm, after the most famous number associated with the process.
In computational linguistics and computer science, edit distance is a string metric, i.e. a way of quantifying how dissimilar two strings (e.g., words) are to one another, that is measured by counting the minimum number of operations required to transform one string into the other.
The idea of a trie for representing a set of strings was first abstractly described by Axel Thue in 1912. [2] [3] Tries were first described in a computer context by René de la Briandais in 1959.