Results 21 to 30 of about 224,011 (281)

The Principle of Maximum Entropy and the Distribution of Mass in Galaxies

open access: yesUniverse, 2022
We do not have a final answer to the question of why galaxies choose a particular internal mass distribution. Here we examine whether the distribution is set by thermodynamic equilibrium (TE).
Jorge Sánchez Almeida
doaj   +1 more source

The Principle of Uncertain Maximum Entropy

open access: yes, 2023
The Principle of Maximum Entropy is a rigorous technique for estimating an unknown distribution given partial information while simultaneously minimizing bias. However, an important requirement for applying the principle is that the available information be provided error-free (Jaynes 1982).
Kenneth Bogert, Matthew Kothe
openaire   +2 more sources

Thermodynamic substantiation of the direction of nonequilibrium processes in triadconjugations of machine parts based on the principles of maximum and minimum entropy

open access: yesПроблеми трибології, 2022
The article gives a thermodynamic substantiation of the direction of nonequilibrium processes in tribocouples of machine parts, in tribosystems, based on the principles of maximum and minimum entropy.
V.V. Aulin   +3 more
doaj   +1 more source

Beyond Moments: Extending the Maximum Entropy Principle to Feature Distribution Constraints

open access: yesEntropy, 2018
The maximum entropy principle introduced by Jaynes proposes that a data distribution should maximize the entropy subject to constraints imposed by the available knowledge.
Paul M. Baggenstoss
doaj   +1 more source

Some Notes on Maximum Entropy Utility

open access: yesEntropy, 2019
The maximum entropy principle is effective in solving decision problems, especially when it is not possible to obtain sufficient information to induce a decision.
Eun Young Kim, Byeong Seok Ahn
doaj   +1 more source

Automatic Image Thresholding Based on Shannon Entropy Difference and Dynamic Synergic Entropy

open access: yesIEEE Access, 2020
An automatic thresholding method based on Shannon entropy difference and dynamic synergic entropy is proposed to select a reasonable threshold from the gray level image with a unimodal, bimodal, multimodal, or peakless gray level histogram.
Yaobin Zou   +4 more
doaj   +1 more source

Entropy-Based Temporal Downscaling of Precipitation as Tool for Sediment Delivery Ratio Assessment

open access: yesEntropy, 2021
Many regions around the globe are subjected to precipitation-data scarcity that often hinders the capacity of hydrological modeling. The entropy theory and the principle of maximum entropy can help hydrologists to extract useful information from the ...
Pedro Henrique Lima Alencar   +2 more
doaj   +1 more source

Atomic Structure Modeling of Multi-Principal-Element Alloys by the Principle of Maximum Entropy

open access: yesEntropy, 2013
Atomic structure models of multi-principal-element alloys (or high-entropy alloys) composed of four to eight componential elements in both BCC and FCC lattice structures are built according to the principle of maximum entropy.
Shaoqing Wang
doaj   +1 more source

Generalized entropies and logarithms and their duality relations [PDF]

open access: yes, 2012
For statistical systems that violate one of the four Shannon-Khinchin axioms, entropy takes a more general form than the Boltzmann-Gibbs entropy. The framework of superstatistics allows one to formulate a maximum entropy principle with these generalized ...
Gell-Mann, Murray   +2 more
core   +3 more sources

Probabilistic Inference for Dynamical Systems

open access: yesEntropy, 2018
A general framework for inference in dynamical systems is described, based on the language of Bayesian probability theory and making use of the maximum entropy principle.
Sergio Davis   +2 more
doaj   +1 more source

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