Trie

Introduction to Trie Data Structure

Definition: A Trie (prefix tree) stores words or sequences of characters.

Uses: Fast searching, inserting, and prefix matching for autocomplete, spell checkers, contact lookup, and IP routing.

Nodes and Edges: Similar to trees and graphs.

Node Components:

Character: Represents a letter.

Children: Pointers to child nodes.

End of Word Flag: Marks the end of a valid word.

Root Node: The starting point with no character, connects to child nodes.

Example Words: "an", "ant", "and", "bat".

Insertion:

Follow character paths from the root, create new nodes as needed, mark the end node.

Search:

Follow character paths from the root; if the path ends at an end node, the word exists.

Deletion:

Unmark the end node, backtrack to delete nodes without children.

Autocomplete: Suggests completions for partial words.

Spell Checkers: Checks word existence and suggests corrections.

Contact Lookup: Finds relevant contacts based on input.

For more detailed information, refer to the Notion link:

Trie⁠

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