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K-ary tree

As explained in Advanced Algorithms and Data Structures

A k-ary tree is a tree in which each node has at most k children, with child links distinguished by symbols from an alphabet.

A k-ary tree gives each node up to k child links, with links distinguished by symbols from an alphabet. In a trie, paths encode strings and shared prefixes are stored once. section 6.2

A trie-based k-ary tree represents strings through:

  • Edges labeled with individual alphabet characters. section 6.2
  • Paths whose joined labels identify prefixes or complete strings. section 6.2
  • Key-node markers indicating that a path represents a stored string; other nodes represent intermediate prefixes. section 6.2
  • Child storage implemented as alphabet-indexed links, with a hash map offering a more compact representation than a full array of links. section 6.2

Encoding words

A trie can contain “a”, “an”, “at”, and “I”. The root represents the empty string; shared paths represent shared prefixes, while filled key nodes mark stored words.

How Advanced Algorithms and Data Structures covers it

How deep it goes
Defines paths, key nodes, intermediate nodes, and child storage, but does not detail search or update operations.
Examples
Uses the strings “a”, “an”, “at”, and “I” to illustrate stored paths and key nodes.
What it assumes
Assumes familiarity with strings, alphabets, tree paths, and binary trees while defining trie-specific node roles.
What you can do after
Evaluate how alphabet-labeled paths and key markers encode strings in a trie.
How it connects
Connects tries with string search, prefix sharing, n-ary trees, and binary search trees.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Advanced Algorithms and Data Structures. The section links point to the parts of the book it draws on.