Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come either as random forces/sources, or advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. Models naturally render to statistical description, where random processes and fields express the input parameters and solutions. The fundamental problem of stochastic dynamics is to identify the essential characteristics of system (its state and evolution), and relate those to the input parameters of the system and initial data. This book is a revised
The equations of physics are deterministic rather than stochastic in nature. Stochastic differential...
In recent years, statistical mechanics has been increasingly recognized as a central domain of mathe...
Introduction to stochastic processes and their applications, and methods for numerical simulation, f...
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come ei...
This monograph set presents a consistent and self-contained framework of stochastic dynamic systems ...
Thesis (Ph.D.)--University of Washington, 2018Stochastic dynamical systems, as a rapidly growing are...
Stochastic processes are probabilistic models of data streams such as speech, audio and video signal...
The monograph considers thermodynamic relaxation in quantum systems, stochastic dynamics of gas mole...
This book aims to provide a compact and unified introduction to the most important aspects in the ph...
Small systems in a thermodynamic medium—like colloids in a suspension or the molecular machinery in ...
Understanding the fluctuations by which phenomenological evolution equations with thermodynamic stru...
Uncertainty is an inherent feature of both properties of physical systems and the inputs to these sy...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
Small systems in a thermodynamic medium — like colloids in a suspension or the molec-ular machinery ...
In this chapter we give a short introduction to the concept of stochastic processes, evolution equat...
The equations of physics are deterministic rather than stochastic in nature. Stochastic differential...
In recent years, statistical mechanics has been increasingly recognized as a central domain of mathe...
Introduction to stochastic processes and their applications, and methods for numerical simulation, f...
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come ei...
This monograph set presents a consistent and self-contained framework of stochastic dynamic systems ...
Thesis (Ph.D.)--University of Washington, 2018Stochastic dynamical systems, as a rapidly growing are...
Stochastic processes are probabilistic models of data streams such as speech, audio and video signal...
The monograph considers thermodynamic relaxation in quantum systems, stochastic dynamics of gas mole...
This book aims to provide a compact and unified introduction to the most important aspects in the ph...
Small systems in a thermodynamic medium—like colloids in a suspension or the molecular machinery in ...
Understanding the fluctuations by which phenomenological evolution equations with thermodynamic stru...
Uncertainty is an inherent feature of both properties of physical systems and the inputs to these sy...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
Small systems in a thermodynamic medium — like colloids in a suspension or the molec-ular machinery ...
In this chapter we give a short introduction to the concept of stochastic processes, evolution equat...
The equations of physics are deterministic rather than stochastic in nature. Stochastic differential...
In recent years, statistical mechanics has been increasingly recognized as a central domain of mathe...
Introduction to stochastic processes and their applications, and methods for numerical simulation, f...