Alfréd Rényi (1921–1970) was a Hungarian mathematician known for his contributions to various areas of mathematics, particularly in probability theory, set theory, information theory, and combinatorics. He is best known for the Rényi entropy, which generalizes the concept of entropy in information theory, providing a more flexible framework for measuring the uncertainty associated with random variables.
New to topics? Read the docs here!