Umbrella sampling — is a technique in computational physics and chemistry, used to improve sampling of a system (or different systems) where ergodicity is hindered by the form of the system s energy landscape. It was first suggested by Torrie and Valleau in 1977… … Wikipedia
Importance sampling — In statistics, importance sampling is a general technique for estimating the properties of a particular distribution, while only having samples generated from a different distribution rather than the distribution of interest. Depending on the… … Wikipedia
Gibbs sampling — In statistics and in statistical physics, Gibbs sampling or a Gibbs sampler is an algorithm to generate a sequence of samples from the joint probability distribution of two or more random variables. The purpose of such a sequence is to… … Wikipedia
Latin hypercube sampling — (LHS) is a statistical method for generating a distribution of plausible collections of parameter values from a multidimensional distribution. The sampling method is often applied in uncertainty analysis. The technique was first described by… … Wikipedia
Video sampling — Similar to music sampling, video sampling is the act of appropriating a portion of preexisting video footage (often copyrighted material) and reusing it to create a new video. The legality of video sampling falls under the fair use doctrine in… … Wikipedia
Apple Developer Tools — Developer(s) Apple Inc. Stable release 3.1 (1096) / April 2008 Operating system Mac OS X Type IDE … Wikipedia
период отбора пробы (выбросов) — — [А.С.Гольдберг. Англо русский энергетический словарь. 2006 г.] Тематики энергетика в целом EN sampling run … Справочник технического переводчика
продолжительность отбора проб — (напр. дымовых газов ТЭС) [А.С.Гольдберг. Англо русский энергетический словарь. 2006 г.] Тематики энергетика в целом EN sampling run duration … Справочник технического переводчика
Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics … Wikipedia
Monte Carlo integration — An illustration of Monte Carlo integration. In this example, the domain D is the inner circle and the domain E is the square. Because the square s area can be easily calculated, the area of the circle can be estimated by the ratio (0.8) of the… … Wikipedia
Restricted randomization — Many processes have more than one source of variation in them. In order to reduce variation in processes, these multiple sources must be understood, and that often leads to the concept of nested or hierarchical data structures. For example, in… … Wikipedia