搜索结果: 1-8 共查到“应用数学 Monte Carlo”相关记录8条 . 查询时间(0.093 秒)
One-dimensional model of interacting-step fluctuations on vicinal surfaces:Analytical formulas and kinetic Monte Carlo simulations
One-dimensional model interacting-step fluctuations vicinal surfaces Analytical formulas kinetic Monte Carlo simulations
2015/10/16
We study analytically and numerically a one-dimensional model of interacting line defects steps fluctuating on a vicinal crystal. Our goal is to formulate and validate analytical techniques for appr...
CONNECTION OF KINETIC MONTE CARLO MODEL FOR SURFACES TO ONE-STEP FLOW THEORY IN 1+1 DIMENSIONS
kinetic Monte Carlo Burton–Cabrera–Frank theory low-density approximation near-equilibrium condition master equation maximum principle
2015/10/16
The Burton–Cabrera–Frank (BCF) theory of step flow has been recognized as a valuable tool for describing nanoscale evolution of crystal surfaces. We formally derive a single-step BCF-type model from a...
Quasi Monte Carlo Simulation of Stochastic String Model
Quasi Monte Carlo Simulation Stochastic String Model
2015/3/20
Quasi Monte Carlo Simulation of Stochastic String Model.
Monte Carlo matrix computations based on compression
Monte Carlo matrix computations based compression
2010/9/10
Here we construct an algorithm based on the minimisation of data by using a compressed matrix for parallel matrix computations. The idea is to minimise the communication between master and slave by el...
Investigating to find the stopping rule for Monte Carlo computations
Investigating stopping rule Monte Carlo computations
2010/9/10
In this paper introduces a rule to drop the Monte Carlo computation when the accuracy of the Monte Carlo computation reaches to the amount of error which is planned in the beginning of the computation...
A Monte Carlo comparison between ridge and principal components regression methods
Multicollinearity ridge regression principal component regression
2010/9/15
A basic assumption concerned with general linear regression model is that there is no correlation (or no multicollinearity) between the explanatory variables. When this assumption is not satisfied, th...
Monte Carlo algorithms for solving Fredholm integral equations and Fredholm differential integral equations
Integral Equations Differential Integral Equations
2010/9/15
In this paper we establish a new algorithm for solving non linear differential integral equations based on Monte Carlo methods. For obtaining the corresponding results, we use the simulated branching ...
Monte Carlo method for finding the solution of Dirichlet partial differential equations
Markov Chain Monte Carlo Dirichlet
2010/9/15
In this paper we present a new Monte Carlo algorithm for finding the solution of Dirichlet partial differential equations (DPDE). Here, we show the solution of a given DPDE, can be found by a new effi...