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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
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Miniature Single-Cell, 4.2V, Fully Integrated Li-Ion, Li-Polymer Charge Management Controller, SOT23-5, Microchip, RoHS
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Komputer z procesorem i.MX6 Quad i 2 GB pamięci RAM. Wyposażenie to m.in.: port eSATA, Ethernet 1 Gb, 2 porty USB, wyjście audio S/PDIF. Zestaw zawiera komputer, zasilacz i moduł Wifi/Bluetooth.
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ATmega16-16PU to mikrokontroler z rodziny AVR, w 40-nóżkowej obudowie DIP, wyposażony jest w pamięci: 16 kB Flash, 1 kB RAM, 512 B EEPROM. Zasilany jest napięciem 4,5..5,5 V, maksymalne taktowanie to 16 MHz. Na pokładzie są m.in.: 4 kanały PWM, interfejsy UART, SPI i TWI, 10-bitowy przetwornik A/C.
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Mikrokontroler z rodziny K64 z rdzeniem ARM® Cortex®-M4, 1MB pamięci Flash, 256kB pamięci RAM, 120MHz, SPI, I2C, I2S, UART, CAN, USB OTG, ADC, DAC, RTC, DMA, LQFP100
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Odroid-MC1 Solo to minikomputer z ośmiordzeniowym procesorem Samsung Exynos5422 (ARM® Cortex™-A15 Quad 2.0GHz/Cortex™-A7 Quad 1.4GHz) który do dyspozycji ma 2 GB pamięci RAM (LPDDR3). Moduł jest dedykowany do budowy tzn. klastrów komputerowych, posiada obudowę która pozwala na łączenie wielu modułów ze sobą.
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