Fast Splay tree for Node and browser
A splay tree typescript library
Splay tree impementation
Lightweight Splay tree javascript library for node, browser
A NodeJs implementation of Splay Tree binary search algorithm
Generic Splay Tree implementation in TypeScript
High-performance (binary) tree and sorted map implementation (AVL, Splay, Radix, Red-Black)
Fast splay tree with order statistics. As fast as a linked list for insertion, deletion, and traversal, but much faster than a list for indexed access and running counts.
Collection of libraries for building collaborative editing apps.
htmlparser2 tree adapter for parse5.
mdast utility to serialize markdown
unist utility to visit nodes
mdast utility to parse markdown
mdast extension to parse and serialize GFM task list items
unist utility to recursively walk over nodes, with ancestral information
very flexible collection for in-memory operations with flexible indexing
mdast extension to parse and serialize GFM (GitHub Flavored Markdown)
mdast utility to transform to hast
TypeScript definitions for @babel/generator
mdast utility to check if a node is phrasing content
Regular Expressions parser in JavaScript
TypeScript definitions for @babel/template
unist utility to get the position of a node
Color helpers to ease transformation between formats, gamut, etc
Splay Tree based Data Structures (map, set, heap)
Binary delta compression — diff and apply for byte sequences, with rolling-hash matching, splay-tree indexing, and in-place patching.
Rust implementation of the Martinez-Rueda Polygon Clipping Algorithm
Rust implementation of the Martinez-Rueda Polygon Clipping Algorithm
Simple, automatic, and customizable tree pretty-printing
Derive macro for `display_tree` crate
An intrusive splay tree implementation that is no-std compatible and free from allocation and moves.
The implementation of data structure splay tree in Rust. Splay tree uses splay algorithm to balance itself and it allows to access node (insert, search, delete) on average of O(logn).
A self-balancing binary tree optimised for fast access to frequently used nodes. Useful for implementing caches and garbage collection algorithms.
Splay tree is an efficient implementation of a balanced binary search tree that takes advantage of locality in the keys used in incoming lookup requests. For many applications, there is excellent key locality.
Heap, Priority Queue, Deque, Stack, Queue, Red-Black Trees, Splay Trees, sorting algorithms, and more
A Splay Tree is a self adjusting binary search tree with the additional property that recently accessed elements are quick to access again. This makes it useful for caches because the most commonly accessed elements will be the fastest ones to access. This tree has an additional feature that allows it's maximum size to be restricted. When it exceeds it's maximum size, it will drop all of the nodes which are at the terminal ends of the tree structure, leaving many of the more commonly accessed nodes intact. This implementation is written in C++ with a Ruby wrapper.
Heap, Priority Queue, Deque, Stack, Queue, Red-Black Trees, Splay Trees, sorting algorithms, and more
Heap, Priority Queue, Deque, Stack, Queue, Red-Black Trees, Splay Trees, sorting algorithms, and more
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