Implement Trie | Leetcode | Trie data structure | Programming in Tamil | Coding | C++ | DSA

208. Implement Trie (Prefix Tree) came in leetcode daily challenge. It is a medium level question involving trie data structures. Trie data structure is a tree-based data structure used for storing collections of strings. The word trie comes from the word reTRIEval which means to find or get something back. If two strings have a common prefix then they will have the same ancestor in the trie. In a trie data structure, we can store a large number of strings and can do search operations on it in an efficient way. A trie can be used to sort a collection of strings alphabetically as well as search whether a string with a given prefix is present in the trie or not. A dictionary can be implemented efficiently with the help of a trie data structure. The structure of a trie is like that of a tree. Each trie consists of a root node. The root node branches into various child nodes having multiple edges. Each TrieNode consists of an array of pointers where every index of the array represents a character. Each node of a trie represents a string and each edge represents a character. The root node is an empty string. Each node except the root node is a string having characters along the path from the root to that node.

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