import TrieImage from '../../images/trie.svg';

const TrieDetail = () => {
  return (
    <>
      <p>
        In computer science, a <strong>trie</strong>, also called digital tree and sometimes radix tree or prefix tree (as they can be
        searched by prefixes), is a kind of search tree—an ordered tree data structure that is used to store a dynamic set or associative
        array where the keys are usually strings. Unlike a binary search tree, no node in the tree stores the key associated with that node;
        instead, its position in the tree defines the key with which it is associated. All the descendants of a node have a common prefix of
        the string associated with that node, and the root is associated with the empty string. Values are not necessarily associated with
        every node. Rather, values tend only to be associated with leaves, and with some inner nodes that correspond to keys of interest.
        For the space-optimized presentation of prefix tree, see compact prefix tree.
      </p>
      <img className="código-image" src={TrieImage} alt="trie" />
      <p>
        In the example shown, keys are listed in the nodes and values below them. Each complete English word has an arbitrary integer value
        associated with it. A trie can be seen as a tree-shaped deterministic finite automaton. Each finite language is generated by a trie
        automaton, and each trie can be compressed into a deterministic acyclic finite state automaton.
      </p>
      <p>
        Though tries can be keyed by character strings, they need not be. The same algorithms can be adapted to serve similar functions on
        ordered lists of any construct; e.g., permutations on a list of digits or shapes. In particular, a bitwise trie is keyed on the
        individual bits making up any fixed-length binary datum, such as an integer or memory address.
      </p>
    </>
  );
};

export default TrieDetail;
