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.

Original languageEnglish
Title of host publicationBAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING
EditorsA MohammadDjafari, JF Bercher, P Bessiere
PublisherAmerican Institute of Physics
Pages399-406
Number of pages8
ISBN (Print)978-0-7354-0860-9
StatePublished - 2010
Event30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Chamonix, France
Duration: 4 Jul 2010 → 9 Jul 2010

Publication series

NameAIP Conference Proceedings
PublisherAMER INST PHYSICS
Volume1305
ISSN (Print)0094-243X

Conference

Conference30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Country/TerritoryFrance
CityChamonix
Period4/07/10 → 9/07/10

    Research areas

  • Variational principles, Maximum Entropy Principle, method of particles

ID: 76605484