Examples of using Stochastic processes in English and their translations into Serbian
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Continuous time stochastic processes.
The most common way to create compositions through mathematics is stochastic processes.
Continuous stochastic processes of second order in a separable Hilbert space.
Discovering of new asymptotic properties of stochastic processes.
And why not stochastic processes, linear programming, or fluid simulation?
The investigation of different causality relations between stochastic processes and between families of sigma algebras.
Numerical research program involves the development and use of modern methods of statistical physics:time series models and stochastic processes.
Causality relations between stochastic processes and families of sigma algebras.
For those who are interested, the program offers courses in quantitative finance,probability, stochastic processes, and statistics.
Nonlinear deterministic and stochastic processes in dynamics of mechanical systems and applications.
Andrey Markov introduced thenotion of Markov chains(1906), which played an important role in stochastic processes theory and its applications.
In particular, Gaussian continuous stochastic processes of second order and conditions for their equivalence.
In the 1943-46 period, Bogoliubov's research was essentially concerned with the theory of stochastic processes and asymptotic methods.
Nonlinear deterministic and stochastic processes in vibroimpact systems and stress and strain state and stability in structure and elements.
Andrey Markov introduced the notion of Markov chains(1906)playing an important role in theory of stochastic processes and its applications.
More complex experiments, such as those involving stochastic processes defined in continuous time, may demand the use of more general probability measures.
The Feynman-Kac formula named after Richard Feynman and Mark Kac,establishes a link between parabolic partial differential equations(PDEs) and stochastic processes.
A number of types of stochastic processes have been considered that are similar to the pure random walks but where the simple structure is allowed to be more generalized.
From a purely mathematical standpoint, you will study aspects of probability,linear systems, and stochastic processes, used in many automatic reasoning and planning problems.
This suggests deriving the equations from assumptions about the chances of an individual changing state in a small interval of time,a procedure well known in the mathematics of stochastic processes.
Investigations in the fields of stochastic processes, Brownian motion and etc., are today of the great importance since they are applicable in combinatorics, physics, insurance and financial mathematics.
Approximation of the solutions of the Fokker-Planck differential equation enables applications in quantum mechanics, telecommunications, economy andall areas of science and technology in which stochastic processes are involved.
Themes are: 1* Nonlinear deterministic and stochastic processes and stability in dynamics of the complex systems and sandwich structures, as well as in the coupled rigid and solid bodies constrained by different constraints and its constitutive relations.
A stochastic differential equation(SDE)is an equation in which the unknown quantity is a stochastic process and the equation involves some known stochastic processes, for example, the Wiener process in the case of diffusion equations.
Marc Kac provided the formal proofs of the summation under history, showing that the parabolic partial differential equation can be re-expressed as a sum under different histories(that is, an expectation operator), what is now knownas the Feynman-Kac formula, the use of which extends beyond physics to many applications of stochastic processes.
Born in1958, candidate of physical-mathematical sciences(MSU, 1988), specialist in probability theory, mathematical statistics,theory of stochastic processes, optimization theory, stochastic differential equations, computer modeling of stochastic processes.
Marc Kac provided the formal proofs of the summation under history, showing that the parabolic partial differential equation can be re-expressed as a sum under different histories(that is, an expectation operator), what is now known asthe Feynman- Kac formula, the use of which extends beyond physics to many applications of stochastic processes.
Research will be directed to the field of theoretical and applied mechanics and realized into following research themes:1* Nonlinear deterministic and stochastic processes and stability in dynamics of the complex systems and sandwich structures, as well as in the coupled rigid and solid bodies constrained by different constraints and its constitutive relations.
Malignant overthrow as a stochastic process of biological evolution.
For example, the emission of radiation from atoms is a natural stochastic process.
