- Gaussian random function
- Макаров: гауссова случайная функция, нормальная случайная функция
Универсальный англо-русский словарь. Академик.ру. 2011.
Gaussian random function
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Large deviations of Gaussian random functions — A random function ndash; of either one variable (a random process), or two or more variables(a random field) ndash; is called Gaussian if every finite dimensional distribution is a multivariate normal distribution. Gaussian random fields on the… … Wikipedia
Random matrix — In probability theory and mathematical physics, a random matrix is a matrix valued random variable. Many important properties of physical systems can be represented mathematically as matrix problems. For example, the thermal conductivity of a… … Wikipedia
Gaussian process — A Gaussian process is a stochastic process which generates samples over time { X t } t ∈ T such that no matter which finite linear combination of the X t one takes (or, more generally, any linear functional of the sample function X t ), that… … Wikipedia
Gaussian adaptation — Articleissues citations missing = July 2008 COI = y expert = Mathematics notability = July 2008 jargon = July 2008 OR = September 2007 primarysources = July 2008 technical = July 2008Gaussian adaptation (GA) is an evolutionary algorithm designed… … Wikipedia
Random coil — A random coil is a polymer conformation where the monomer subunits are oriented randomly while still being bonded to adjacent units. It is not one specific shape, but a statistical distribution of shapes for all the chains in a population of… … Wikipedia
Gaussian network model — The Gaussian network model (GNM), one of many things named after Carl Gauss, is a representation of a biological macromolecule as an elastic mass and spring network to study, understand, and characterize mechanical aspects of its long scale… … Wikipedia
Gaussian function — In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of the form::f(x) = a e^{ { (x b)^2 over 2 c^2 } }for some real constants a > 0, b , c > 0, and e ≈ 2.718281828 (Euler s number).The graph of a Gaussian is a… … Wikipedia
Inverse Gaussian distribution — Probability distribution name =Inverse Gaussian type =density pdf | cdf parameters =lambda > 0 mu > 0 support = x in (0,infty) pdf = left [frac{lambda}{2 pi x^3} ight] ^{1/2} exp{frac{ lambda (x mu)^2}{2 mu^2 x cdf = Phileft(sqrt{frac{lambda}{x… … Wikipedia
Multivariate random variable — In mathematics, probability, and statistics, a multivariate random variable or random vector is a list of mathematical variables each of whose values is unknown, either because the value has not yet occurred or because there is imperfect… … Wikipedia
Window function — For the term used in SQL statements, see Window function (SQL) In signal processing, a window function (also known as an apodization function or tapering function[1]) is a mathematical function that is zero valued outside of some chosen interval … Wikipedia
Markov random field — A Markov random field, Markov network or undirected graphical model is a set of variables having a Markov property described by an undirected graph. A Markov random field is similar to a Bayesian network in its representation of dependencies. It… … Wikipedia
