About compression of vocabulary in computer oriented languages
V. P. Maslov
TL;DR
This paper explores using the entropy concept from physics to optimize vocabulary compression in computer-oriented languages, aiming to reduce information loss.
Contribution
It introduces a novel approach by applying Bose-Einstein gas entropy to vocabulary compression in programming languages.
Findings
Entropy-based method reduces vocabulary size effectively
Minimizes information loss during compression
Provides a theoretical framework for language optimization
Abstract
The author uses the entropy of the ideal Bose-Einstein gas to minimize losses in computer-oriented languages.
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Taxonomy
TopicsEvolutionary Algorithms and Applications · Computational Physics and Python Applications · Computability, Logic, AI Algorithms