A dictionary based compressor, that is is different from Lempel Ziv encoding that it doesn't use match lengths and does not need perfect matches.

Project Activity

See All Activity >

Categories

Algorithms

License

Public Domain

Follow Schumacher Encoding

Schumacher Encoding Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Schumacher Encoding!

Additional Project Details

Operating Systems

FreeBSD, Linux, Mac, NetBSD, OpenBSD, Solaris, Windows

Languages

English

Programming Language

C++

Related Categories

C++ Algorithms

Registered

2008-09-24