Dynamics of Stochastic Systems

Description

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. The well known example of Brownian particle suspended in fluid and subjected to random molecular bombardment laid the foundation for modern stochastic calculus and statistical physics. Other important examples include turbulent transport and diffusion of particle-tracers (pollutants), or continuous densities (''oil slicks''), wave propagation and scattering in randomly inhomogeneous media, for instance light or sound propagating in the turbulent atmosphere.

Such models naturally render to statistical description, where the input parameters and solutions are expressed by random processes and fields.

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1. Ebooks list page : 2551
2. Dynamics of Stochastic Systems
3. Dynamics of Stochastic Systems
4. Nonlinear Dynamics of Chaotic and Stochastic Systems: Tutorial and Modern Developments (Springer Ser
5. Nonlinear Dynamics of Chaotic and Stochastic Systems: Tutorial and Modern Developments (Springer Ser
6. Nonlinear Dynamics of Chaotic and Stochastic Systems: Tutorial and Modern Developments | Ebook Share
7. Nonlinear Dynamics of Chaotic and Stochastic Systems: Tutorial and Modern Developments (Springer Series in Synergetics)
8. Nonlinear Dynamics of Chaotic and Stochastic Systems: Tutorial and Modern Developments (Springer Series in Synergetics)
9. Average-Cost Control of Stochastic Manufacturing Systems (Stochastic Modelling and Applied Probability)
10. Stochastic Dynamics
11. Stochastic Dynamics and Control
12. Stochastic Dynamics of Reacting Biomolecules
13. Statistical Dynamics: A Stochastic Approach to Nonequilibrium Thermodynamics
14. Numerical Methods for Controlled Stochastic Delay Systems (Systems & Control: Foundations & Applications)
15. Optimization of Stochastic Systems: Topics in Discrete-time Systems
16. Measuring Risk in Complex Stochastic Systems