Sentence examples for models of statistical from inspiring English sources

In this course, several mathematical models of statistical mechanics will be studied, with particular attention given to phase transitions.

We consider Monte Carlo simulations of classical spin models of statistical mechanics using the massively parallel architecture provided by graphics processing units (GPUs).

As is discussed here for the case of studying classical spin models of statistical mechanics by Monte Carlo simulations, only an explicit tailoring of the involved algorithms to the specific architecture under consideration allows to harvest the computational power of GPU systems.

His scientific research interests include: quantum theories of brain operation, computational neuroscience, artificial neural networks, models of emergence processes, quantum field theory, models of phase transitions in condensed matter, models of human memory and visual perception, models of decision making, models of statistical reasoning.

My project is concerned with the application of concepts, theories, and models of statistical physics to motor proteins, amazing molecules that are able to transform the energy provided by a chemical reaction into mechanical work.

Models of statistical explanation assume that if the particle does penetrate the barrier, QM explains this outcome the IS and SR models are intended to capture the structure of such explanations.

Reaching a vast audience no longer using landlines, or even mobile voice calls much, with a 20th-century modeling of statistical sampling has produced dangerously misleading results in elections around the world of late.

We prove that the learnability of a certain class in Vapnik's general model of statistical learning is independent of the axioms of set theory.

To elaborate on this point of view, we consider a Shelling-type model of agent dynamics leading to community formation in large networks that is related to the Ising model of statistical physics.

The proposed method allows variable amounts of statistical dependencies according to the correlation coefficients observed in real acoustic signals and, hence, enables more accurate modeling of statistical dependencies.

The proposed method allows variable amounts of statistical dependencies according to the correlation coefficients observed in real life acoustic signals and enables more accurate modeling of statistical dependencies.