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@easy-data-structure-js/2-3-tree

v1.0.0

Published

A TypeScript implementation of 2-3 tree data structure

Readme

2-3 Tree

A TypeScript implementation of 2-3 tree data structure - a balanced search tree where each internal node has either 2 or 3 children.

Installation

npm install @easy-data-structure-js/2-3-tree

# or
pnpm add @easy-data-structure-js/2-3-tree

Usage

import { Tree23 } from '@easy-data-structure-js/2-3-tree';

const tree = new Tree23<number>();

// Insert values
tree.insert(10);
tree.insert(20);
tree.insert(5);
tree.insert(15);

// Search for values
console.log(tree.search(10)); // true
console.log(tree.search(25)); // false

// Custom comparator
const stringTree = new Tree23<string>((a, b) => a.localeCompare(b));
stringTree.insert('apple');
stringTree.insert('banana');
console.log(stringTree.search('apple')); // true

Features

  • Self-balancing tree structure
  • Guaranteed O(log n) search, insert operations
  • Generic implementation supporting any comparable type
  • Custom comparator function support
  • TypeScript support with full type safety
  • Zero dependencies

API

constructor(compareFn?: (a: T, b: T) => number)

Creates a new 2-3 tree. Optional comparator function for custom ordering.

insert(key: T): void

Inserts a key into the tree. Time complexity: O(log n).

search(key: T): boolean

Searches for a key in the tree. Returns true if found. Time complexity: O(log n).

Properties

  • Balanced: All leaf nodes are at the same level
  • Ordered: In-order traversal yields sorted sequence
  • Efficient: Guaranteed logarithmic height

Use Cases

  • Database indexing
  • Symbol tables
  • Ordered data storage
  • Range queries preparation
  • Educational purposes for understanding balanced trees