Rényi entropy is a generalization of Shannon entropy that provides a measure of the diversity or uncertainty of a probability distribution. It was introduced by Alfréd Rényi in 1960 and is particularly useful in information theory, statistical mechanics, and various fields dealing with complex systems.
Articles by others on the same topic
There are currently no matching articles.