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Monte-Carlo modeling

См. также в других словарях:

  • Monte Carlo method for photon transport — Modeling photon propagation with Monte Carlo methods is a flexible yet rigorous approach to simulate photon transport. In the method, local rules of photon transport are expressed as probability distributions which describe the step size of… …   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 in finance — Monte Carlo methods are used in finance and mathematical finance to value and analyze (complex) instruments, portfolios and investments by simulating the various sources of uncertainty affecting their value, and then determining their average… …   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

  • 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 methods for option pricing — In mathematical finance, a Monte Carlo option model uses Monte Carlo methods to calculate the value of an option with multiple sources of uncertainty or with complicated features. [1] The term Monte Carlo method was coined by Stanislaw Ulam in… …   Wikipedia

  • Direct simulation Monte Carlo — (DSMC) method uses probabilistic (Monte Carlo) simulation to solve the Boltzmann equation for finite Knudsen number fluid flows. The DSMC method was proposed by Prof. Graeme Bird,[1][2][3] Emeritus Professor of Aeronautics, University of Sydney.… …   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

  • Dynamic Monte Carlo method — In chemistry, dynamic Monte Carlo (DMC) is a method for modeling the dynamic behaviors of molecules by comparing the rates of individual steps with random numbers. Unlike the Metropolis Monte Carlo method, which has been employed to study systems …   Wikipedia

  • Multiscale modeling — In engineering, mathematics, physics, meteorology and computer science, multiscale modeling is the field of solving physical problems which have important features at multiple scales, particularly multiple spatial and(or) temporal scales.… …   Wikipedia

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