-
1 Fokker-Planck equation for the probability distribution function
Универсальный англо-русский словарь > Fokker-Planck equation for the probability distribution function
См. также в других словарях:
Fokker–Planck equation — [ thumb|A solution to the one dimensional Fokker–Planck equation, with both the drift and the diffusion term. The initial condition is a Dirac delta function in x = 1, and the distribution drifts towards x = 0.] The Fokker–Planck equation… … Wikipedia
Quasi-probability distribution — In the most general form, the dynamics of a quantum mechanical system are determined by a master equation an equationof motion for the density operator (usually written rho;) of thesystem. Although it is possible to directly integrate this… … Wikipedia
Stochastic differential equation — A stochastic differential equation (SDE) is a differential equation in which one or more of the terms is a stochastic process, thus resulting in a solution which is itself a stochastic process. SDE are used to model diverse phenomena such as… … Wikipedia
Heat equation — The heat equation is an important partial differential equation which describes the distribution of heat (or variation in temperature) in a given region over time. For a function of three spatial variables ( x , y , z ) and one time variable t ,… … Wikipedia
Kolmogorov backward equation — The Kolmogorov backward equation (KBE) and its adjoint the Kolmogorov forward equation (KFE) are partial differential equations (PDE) that arise in the theory of continuous time continuous state Markov processes. Both were published by Andrey… … Wikipedia
Ornstein–Uhlenbeck process — Not to be confused with Ornstein–Uhlenbeck operator. In mathematics, the Ornstein–Uhlenbeck process (named after Leonard Ornstein and George Eugene Uhlenbeck), is a stochastic process that, roughly speaking, describes the velocity of a massive… … Wikipedia
Langevin equation — In statistical physics, a Langevin equation (Paul Langevin, 1908) is a stochastic differential equation describing the time evolution of a subset of the degrees of freedom. These degrees of freedom typically are collective (macroscopic) variables … Wikipedia
von Mises distribution — von Mises Probability density function The support is chosen to be [ π,π] with μ=0 Cumulative distribution function The support is chosen to be [ π,π] with μ=0 … Wikipedia
Master equation — See Lindblad equation for the master equation used in quantum physics See also Batalin–Vilkovisky formalism for the classical and quantum master equations in quantum field theory. In physics and chemistry and related fields, master equations are… … Wikipedia
Chapman-Kolmogorov equation — In mathematics, specifically in probability theory, and yet more specifically in the theory of Markovian stochastic processes, the Chapman Kolmogorov equation can be viewed as an identity relating the joint probability distributions of different… … Wikipedia
Social-circles network model — The generative model of feedback networks [Cited by Wei, Wang, Qiuping, Nivanen, Lauret et al (2006 01 12) [http://www.citebase.org/abstract?id=oai%3AarXiv.org%3Aphysics%2F0601091 How to fit the degree distribution of the air network?] ] , [Cited … Wikipedia