
Entropy | An Open Access Journal from MDPI
Entropy Entropy is an international and interdisciplinary peer-reviewed open access journal of entropy and information studies, published monthly online by MDPI.
Entropy - MDPI
The concept of entropy constitutes, together with energy, a cornerstone of contemporary physics and related areas. It was originally introduced by Clausius in 1865 along abstract lines …
Entropy: From Thermodynamics to Information Processing - MDPI
Oct 14, 2021 · Entropy is most commonly defined as “disorder”, although it is not a good analogy since “order” is a subjective human concept, and “disorder” cannot always be obtained from …
A Characterization of Entropy in Terms of Information Loss - MDPI
Nov 24, 2011 · Using work by Faddeev and Furuichi, we derive a very simple characterization. Instead of focusing on the entropy of a probability measure on a finite set, this characterization …
Applications of Entropy in Finance: A Review - MDPI
Nov 11, 2013 · In this paper, we review the concepts and principles of entropy, as well as their applications in the field of finance, especially in portfolio selection and asset pricing. …
Entropy and Complexity Tools Across Scales in Neuroscience: A …
Jan 24, 2025 · Two key concepts, entropy and complexity, have been increasingly employed by neuroscientists as powerful tools for characterizing the interplay between structure and …
Applications of Entropy in Data Analysis and Machine Learning: A …
Dec 23, 2024 · Precisely, this paper aims to provide an up-to-date overview of the applications of entropy in data analysis and machine learning, where entropy stands here not only for the …
Entropy | Special Issues - MDPI
Entropy publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new …
A Brief Review of Generalized Entropies - MDPI
Entropy appears in many contexts (thermodynamics, statistical mechanics, information theory, measure-preserving dynamical systems, topological dynamics, etc.) as a measure of different …
Approximate Entropy and Sample Entropy: A Comprehensive …
May 28, 2019 · Approximate Entropy and Sample Entropy are two algorithms for determining the regularity of series of data based on the existence of patterns. Despite their similarities, the …