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 the system (its state and evolution), and relate
those to the input parameters of the system and initial data.
This book is a revised and more comprehensive version of
"Dynamics of Stochastic Systems." Part I provides an introduction
to the topic. Part II is devoted to the general theory of
statistical analysis of dynamic systems with fluctuating parameters
described by differential and integral equations. Part III deals
with the analysis of specific physical problems associated with
coherent phenomena.
A comprehensive update of "Dynamics of Stochastic Systems"Develops
mathematical tools of stochastic analysis and applies them to a
wide range of physical models of particles, fluids and
wavesIncludes problems for the reader to solve
General
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