搜索结果: 1-15 共查到“理学 Monte Carlo”相关记录213条 . 查询时间(0.093 秒)
为快速识别边坡施工过程中的风险,构建基于层次分析法(AHP)—蒙特卡洛(Monte Carlo)的安全总体风险评估体系和界定边坡风险等级区间.根据湘西某高速公路边坡施工过程中引起边坡失稳的主要因素,进行了风险源识别,采用AHP方法确定风险源权重,建立边坡施工安全评估模型.该公路63处边坡风险特征参数体现了边坡风险分值R的分布规律.运用Monte Carlo模拟边坡安全评估分数F,建立了该公路的边坡...
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...
The use of Monte Carlo simulations for seismic hazard assessment in the U.K.
Seismic hazard Monte Carlo simulation
2015/9/30
The input required for a seismic hazard study using conventional Probabilistic Seismic Hazard assessment (PSHA) methods can also be used for probabilistic analysis of hazard using Monte Carlo simulati...
Discussion of: \Sequential Quasi-Monte-Carlo Sampling" by Mathieu Gerber and Nicolas Chopin
Mathieu Gerber Nicolas Chopin
2015/8/21
We congratulate Gerber and Chopin for a very interesting paper with much
promise for applications. SQMC is similar to array-RQMC (L'Ecuyer et al.,
2008), in using T sets of N points in [0;1]d
inste...
Guaranteed Conservative Fixed Width Confidence Intervals Via Monte Carlo Sampling
Intervals Via Monte Carlo Sampling Guaranteed Conservative
2015/8/21
Monte Carlo methods are used to approximate the means, μ, of random variables
Y, whose distributions are not known explicitly. The key idea is that the average of a random
sample, Y1,...,Yn, tends t...
MONTE CARLO SAMPLING IN DUAL SPACE FOR APPROXIMATING THE EMPIRICAL HALFSPACE DISTANCE
SPACE FOR APPROXIMATING EMPIRICAL HALFSPACE DISTANCE
2015/8/20
The Kolmogorov]Smirnov distance is an important tool for constructing confidence sets and tests in univariate problems. In multivariate
settings, an analogous role is played by the halfspace di...
THREE EXAMPLES OF MONTE-CARLO MARKOV CHAINS:AT THE INTERFACE BETWEEN STATOSTICAL COMPUTING,COMPUTER SCIENCE,AND STATISTICAL MECHANICS
Monte carlo markov chain the interface between computing computer science statistical mechanics
2015/7/14
THREE EXAMPLES OF MONTE-CARLO MARKOV CHAINS:AT THE INTERFACE BETWEEN STATOSTICAL COMPUTING,COMPUTER SCIENCE,AND STATISTICAL MECHANICS。
Sequential Monte Carlo Methods for Statistical Analysis of Tables
Conditional inference Contingency table Counting problem Exact test Sequential importance sampling Zero–one table
2015/7/8
Sequential Monte Carlo Methods for Statistical Analysis of Tables.
The Markov Chain Monte Carlo Revolution。
Some things we’ve learned (about Markov chain Monte Carlo)
Markov chains nonreversible chains rates of convergence
2015/7/7
This paper offers a personal review of some things we’ve learned about rates of convergence of Markov chains to their stationary distributions. The main topic is ways of speeding up diffusive behavior...
de Finetti Priors using Markov chain Monte Carlo computations
Priors MCMC Contingency Tables Bayesian Inference Independence
2015/7/7
de Finetti Priors using Markov chain Monte Carlo computations。
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.
XMM-Newton Spectra of Intermediate-Mass Black Hole Candidates: Application of a Monte Carlo Simulated Model
NGC 5408 NGC 628
2014/12/24
We present a systematic spectral analysis of six ultraluminous X-ray sources (NGC 1313 X-1 and X-2, IC 342 X-1, Ho IX X-1, NGC 5408 X-1, and NGC 3628 X-1) observed with the XMM-Newton observatory. The...
Exact quantum Monte Carlo process for the statistics of discrete systems
Monte carlo and discrete quantum system statistical data the grid virtual transformation
2014/12/23
We propose an exact Monte Carlo approach for the statistics of discrete quantum systems that does not employ the standard partition of the imaginary time into a mesh and does not contain small paramet...