TypeScript definitions for functional-red-black-tree
node-red-black-tree ===================
[Collectable.js] Immutable Red-Black Tree
red black tree
A fully persistent balanced binary search tree
Red-black tree module.
Production-ready TypeScript data structures: Heap, Deque, Trie, Graph, Red-Black Tree, TreeMap, TreeSet, and more. Zero dependencies, type-safe, with getRank/getByRank/rangeByRank support.
A simple left leaning red black tree implementation.
A javascript implementation of red-black-tree
Temporary Okra database backed by an in-memory red/black tree
A Red-Black Tree with a generic interface for TypeScript
A red black tree implementation in js.
Red Black Tree
Red-black tree library for JavaScript
Red Black tree with filters for indexing.
Typescript Red-Black Tree
Universal js which implement red black tree
TreeMap - A sorted map implementation based on Red-Black Tree
red-black-tree
This library provides advanced implementation of Red-black tree, which is a kind of self-balancing binary search tree for JavaScript
TreeSet - A sorted set implementation based on Red-Black Tree
red-black-tree
Red-black tree and binary search tree
The algorithm of a self-balancing tree is used (Red-Black tree)
Red-Black Tree Data Structure for Ruby
Pure-Ruby implemention of Red-Black tree, a self-balancing binary search tree with O(log n) search, insert and delete operations.
AVL tree, Red black tree and Lock-free Red black tree in Ruby
An attempt at a left leaning red black tree gem
A RBTree is a sorted associative collection that is implemented with a Red-Black Tree. It maps keys to values like a Hash, but maintains its elements in ascending key order. The interface is the almost identical to that of Hash. This is a fork of the original gem that fixes various bugs on Ruby 2.3+.
This is a pure-ruby implementation of the rbtree gem.
Left-Leaning Red-Black Tree for Ruby.
Heap, Priority Queue, Deque, Stack, Queue, Red-Black Trees, Splay Trees, sorting algorithms, and more
A RBTree is a sorted associative collection that is implemented with a Red-Black Tree. It maps keys to values like a Hash, but maintains its elements in ascending key order. The interface is the almost identical to that of Hash.
A high-performance pure Ruby Red-Black Tree implementation. Features: O(1) key lookup via hybrid hash index, O(log n) insert/delete, lazy Enumerator-based range queries (lt/gt/between), nearest/prev/succ search, memory-efficient node pooling, and MultiRBTree for duplicate keys with first/last value access.
Binary search list implemented in ruby using red-black self-balancing tree
Heap, Priority Queue, Deque, Stack, Queue, Red-Black Trees, Splay Trees, sorting algorithms, and more
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