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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 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
Introduction
Part I: Dynamical description of stochastic systems
Lecture 1. Examples, basic problems, peculiar features of solutions
Lecture 2. Solution dependence on problem type, medium parameters, and initial data
Lecture 3. Indicator function and Liouville
Part II: Statistical description of stochastic systems
Lecture 4. Random quantities, processes, and fields
Lecture 5. Correlation splitting
Lecture 6. General approaches to analyzing stochastic systems
Lecture 7. Stochastic equations with the Markovian fluctuations of
parameters
Lecture 8. Approximation of Gaussian random field delta-correlated
in time
Lecture 9. Methods for solving and analyzing the Fokker-Planck
equation
Lecture 10. Some other approximate approaches to the problems of
statistical hydrodynamics
Part III: Examples of coherent phenomena in stochastic dynamic systems 269
Lecture 11. Passive tracer clustering and diffusion in random hydrodynamic and magnetohydrodynamic flows
Lecture 12. Wave localization in randomly layered media
Lecture 13. Caustic structure of wavefield in random media
Bibliography
Filament firmy ROSA3D wykonany z wysokiej jakości granulatu PLA. Umieszczony na tekturowej gilzie, na której nawinięte jest 1 kg filamentu o średnicy 1,75 mm. ROSA3D ReFill PLA Starter Yellow
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Moduł z czujnikiem prądu i napięcia. Może mierzyć napięcie do 26 V i prąd do 3,2 A. Oparty na czujniku INA219, komunikacja I2C. SparkFun SEN-15176
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Filament firmy ROSA3D wykonany z wysokiej jakości granulatu PLA. Umieszczony na tekturowej gilzie, na której nawinięte jest 1 kg filamentu o średnicy 1,75 mm. ROSA3D ReFill PLA Starter Blue Sky
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