-
1 квантовый метод Монте-Карло
1) Semiconductors: quantum Monte-Carlo method2) Makarov: QMC method (quantum Monte Carlo method), quantum Monte Carlo method ( QMC method), quantum Monte Carlo wave function methodУниверсальный русско-английский словарь > квантовый метод Монте-Карло
-
2 гриновская функция квантового метода Монте-Карло
Универсальный русско-английский словарь > гриновская функция квантового метода Монте-Карло
-
3 диффузный квантовый метод Монте-Карло
Makarov: diffusion quantum Monte-Carlo methodУниверсальный русско-английский словарь > диффузный квантовый метод Монте-Карло
-
4 квантовый метод Монте-Карло с использованием корреляционных функции
Универсальный русско-английский словарь > квантовый метод Монте-Карло с использованием корреляционных функции
-
5 квантовомеханический метод Монте-Карло
Универсальный русско-английский словарь > квантовомеханический метод Монте-Карло
-
6 квантовый метод волновых функций Монте-Карло
Универсальный русско-английский словарь > квантовый метод волновых функций Монте-Карло
См. также в других словарях:
Quantum Monte Carlo — is a large class of computer algorithms that simulate quantum systems with the idea of solving the many body problem. They use, in one way or another, the Monte Carlo method to handle the many dimensional integrals that arise. Quantum Monte Carlo … 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 method — Not to be confused with Monte Carlo algorithm. Computational physics … Wikipedia
Gaussian quantum Monte Carlo — is a quantum Monte Carlo method that shows a potential solution to the fermion sign problem without the deficiencies of alternative approaches. Instead of the Hilbert space, this method works in the space of density matrices that can be spanned… … 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 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
Diffusion Monte Carlo — (DMC) is a quantum Monte Carlo method that uses a Green s function to solve the Schrödinger equation. DMC is potentially numerically exact, meaning that it can find the exact ground state energy within a given error for any quantum system. When… … 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
Reptation Monte Carlo — is a quantum Monte Carlo method. References * cite journal author = S. Baroni and S. Moroni year = 1999 title = Reptation Quantum Monte Carlo: A Method for Unbiased Ground State Averages and Imaginary Time Correlations journal = Phys. Rev. Lett.… … Wikipedia
Path integral Monte Carlo — is a quantum Monte Carlo method in the path integral formulation of quantum mechanics.References*cite journal author = D. M. Ceperley year = 1995 month = April title = Path integrals in the theory of condensed helium journal = Rev. Mod. Phys.… … 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
