- Monte-Carlo procedure
- 1) Математика: метод Монте-Карло2) Макаров: Монте-Карло метод
Универсальный англо-русский словарь. Академик.ру. 2011.
Monte-Carlo procedure
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Monte Carlo methods for electron transport — The Monte Carlo method for electron transport is a semiclassical Monte Carlo(MC) approach of modeling semiconductor transport. Assuming the carrier motion consists of free flights interrupted by scattering mechanisms, a computer is utilized to… … Wikipedia
Monte Carlo method in statistical physics — Monte Carlo in statistical physics refers to the application of the Monte Carlo method to problems in statistical physics, or statistical mechanics. Contents 1 Overview 2 Importance sampling 2.1 Canonical … Wikipedia
Monte Carlo molecular modeling — is the application of Monte Carlo methods to molecular problems. These problems can also be modeled by the molecular dynamics method. The difference is that this approach relies on statistical mechanics rather than molecular dynamics. Instead of… … 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
Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics … Wikipedia
Monte Carlo algorithm — In computing, a Monte Carlo algorithm is a randomized algorithm whose running time is deterministic, but whose output may be incorrect with a certain (typically small) probability. The related class of Las Vegas algorithms is also randomized, but … Wikipedia
Auxiliary field Monte Carlo — is a method that allows the calculation, by use of Monte Carlo techniques, of averages of operators in many body quantum mechanical (Blankenbecler 1981, Ceperley 1977) or classical problems (Baeurle 2004, Baeurle 2003, Baeurle 2002a).The… … Wikipedia
Reverse Monte Carlo — (RMC) is a variation of the standard Metropolis Hastings algorithm to solve an inverse problem probing the configuration space though a random walk in search for set of parameters that is consistent with experimental data. An inverse problem is… … Wikipedia
Variational Monte Carlo — Variational Monte Carlo(VMC) is a quantum Monte Carlo method that applies the variational method to approximate the ground state of the system. The expectation value necessary can be written in the x representation as frac{langle Psi(a) | H |… … 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
Randomized algorithm — Part of a series on Probabilistic data structures Bloom filter · Skip list … Wikipedia
