搜索结果: 1-15 共查到“Monte Carlo method”相关记录19条 . 查询时间(0.138 秒)
A Revised Monte Carlo Method for Target Location with UAV
Monte Carlo Target location UAV Bias
2024/1/19
Target location using UAV equipped with vision system has played an important role in many applications but there remain challenges. One of the principal difficulties is to position a target with a hi...
ERROR ANALYSIS OF COARSE-GRAINED KINETIC MONTE CARLO METHOD
Coarse grain kinetic monte carlo simulation grid the stochastic dynamics structural model
2014/12/25
In this paper we investigate the approximation properties of the coarse-graining procedure applied to kinetic Monte Carlo simulations of lattice stochastic dynamics. We provide both analytical and num...
Fermi-polaron problem: Diagrammatic Monte Carlo method for divergent sign-alternating series
Diagram to monte carlo method Fermi gas particle condensed matter
2014/12/20
We use the diagrammatic Monte Carlo approach to solve the problem of a single spin-down fermion resonantly interacting with a Fermi gas of spin-up particles. Our solution is important for understandin...
Inference in Kingman's Coalescent with Particle Markov Chain Monte Carlo Method
Inference Kingman's Coalescent with Particle Markov Chain Monte Carlo Method
2013/6/13
We propose a new algorithm to do posterior sampling of Kingman's coalescent, based upon the Particle Markov Chain Monte Carlo methodology. Specifically, the algorithm is an instantiation of the Partic...
Statistical inference for Sobol pick freeze Monte Carlo method
Statistical inference Sobol pick freeze Monte Carlo method
2013/4/28
Many mathematical models involve input parameters, which are not precisely known. Global sensitivity analysis aims to identify the parameters whose uncertainty has the largest impact on the variabilit...
On Stochastic Error and Computational Efficiency of the Markov Chains Monte Carlo Method
Monte Carlo simulation phase coexistence Gibbs ensemble molecular simulation multi-component system
2012/4/24
In Monte Carlo simulations, the thermal equilibria quantities are estimated by ensemble average over a sample set containing a large number of correlated samples. As the stochastic error of the simula...
A global Monte-Carlo method for fitting parameters of differential equation models
global Monte-Carlo method fitting parameters Quantitative Methods
2011/10/8
Abstract: Finding the parameter values of differential equation models from data is an important part of the modelling process. Large models and sparse data often make the parameters very difficult to...
A regression Monte-Carlo method for Backward Doubly Stochastic Differential Equations
regression Monte-Carlo method Stochastic Differential Equations Probability
2011/8/30
Abstract: This paper extends the idea of E.Gobet, J.P.Lemor and X.Warin from the setting of Backward Stochastic Differential Equations to that of Backward Doubly Stochastic Differential equations. We ...
Multilevel Monte Carlo method for jump-diffusion SDEs
Multilevel Monte Carlo method jump-diffusion SDEs expected payoff jump rates
2011/7/4
We investigate the extension of the multilevel Monte Carlo path
simulation method to jump-diffusion SDEs. We consider models with
finite rate activity , using a jump-adapted discretisation in which ...
Separation of Comprehensive Geometrical Errors of a 3-DoF Parallel Manipulator Based on Jacobian Matrix and its Sensitivity Analysis with Monte-Carlo Method
parallel kinematic machines (PKMs) limited-degree-of-freedom (limited-DoF) error separation
2011/8/4
Parallel kinematic machines (PKMs) have the advantages of a compact structure, high stiffness, a low moving inertia, and a high load/weight ratio. PKMs have been intensively studied since the 1980s, a...
Separation of Comprehensive Geometrical Errors of a 3-DoF Parallel Manipulator Based on Jacobian Matrix and its Sensitivity Analysis with Monte-Carlo Method
parallel kinematic machines (PKMs) limited-degree-of-freedom (limited-DoF)
2011/8/4
Parallel kinematic machines (PKMs) have the advantages of a compact structure, high stiffness, a low moving inertia, and a high load/weight ratio. PKMs have been intensively studied since the 1980s, a...
Supersonic flow over a blunt body using the direct simulation Monte Carlo method and Navier-Stokes equations
DSMC supersonic flows rarefied gas Von-leer method
2010/9/26
The aero thermodynamic characteristics of blunt body in a supersonic flow are studied by two methods of Direct Simulation Monte Carlo (DSMC) and Navier Stocks equations. The numerical calculations wer...
Simulation of equilibrated states via molecular Monte Carlo method of systems connected to 3 reservoirs
Simulation of equilibrated states systems connected to 3 reservoirs
2010/11/22
Metastable structures, e.g. amorphous solids of colloids [1] and stalks in membrane fusion
[2, 3], are observed in various systems. Such non-equilibrium states often have long
lifetimes and cause di...
A One-Pass Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets
Sequential Monte Carlo One-Pass Massive Datasets
2009/9/21
For Bayesian analysis of massive data, Markov chain Monte Carlo (MCMC) techniques often prove infeasible due to computational resource constraints. Standard MCMC methods generally require a complete s...
Implementation of a Markov Chain Monte Carlo method to inorganic aerosol modeling of observations from the MCMA-2003 campaign – Part II: Model application to the CENICA, Pedregal and Santa Ana sites
Markov Chain Monte Carlo method inorganic aerosol CENICA Pedregal Santa Ana sites
2009/1/16
A Markov Chain Monte Carlo model for integrating the observations of inorganic species with a thermodynamic equilibrium model was presented in Part I of this series. Using observations taken at three ...