MATLAB Code for Computational Complexity Using LZ Algorithm

This document presents MATLAB code specifically designed for calculating computational complexity. The implementation leverages the LZ algorithm, a widely-used data compression technique known for its efficiency in complexity analysis. The code structure includes key functions for pattern recognition and entropy calculation, which are fundamental components of the LZ approach. Users can customize various parameters such as input data types, buffer sizes, and matching thresholds to adapt the algorithm to specific computational scenarios. The implementation demonstrates how sliding window techniques and dictionary-based compression principles can be applied to complexity measurement. Researchers can modify the core algorithm by adjusting the search depth or implementing different variant of LZ compression (LZ77/LZ78) to suit particular analysis requirements. This resource serves as both a practical tool and educational example for understanding complexity analysis through compression-based methodologies.