Dynamic Markov compression

Dynamic Markov Compression is a technique used in information theory and data compression that leverages the principles of Markov models to achieve efficient compression of data sequences. Here's an overview of the key components and concepts associated with this approach: ### Key Concepts: 1. **Markov Models**: A Markov model is a statistical model that represents a system which transitions between states based on certain probabilities.