The speed-gradient variational principle (SG-principle) for nonstationary nonequilibrium systems is formulated and illustrated by an example. It is proposed to use the SG-principle to model transient (relaxation) dynamics for systems satisfying maximum entropy principle. Nonstationary processes generated with the method of dynamics of particles are studied. A comparison of theoretic prediction and simulation results confirming reasonable prediction precision is presented.

Язык оригиналаАнглийский
Название основной публикацииBAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING
РедакторыA MohammadDjafari, JF Bercher, P Bessiere
ИздательAmerican Institute of Physics
Страницы399-406
Число страниц8
ISBN (печатное издание)978-0-7354-0860-9
СостояниеОпубликовано - 2010
Событие30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Chamonix, Франция
Продолжительность: 4 июл 2010 → 9 июл 2010

Серия публикаций

НазваниеAIP Conference Proceedings
ИздательAMER INST PHYSICS
Том1305
ISSN (печатное издание)0094-243X

конференция

конференция30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Страна/TерриторияФранция
ГородChamonix
Период4/07/10 → 9/07/10

ID: 76605484