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[PDF] Top 20 Algorithms and applications of the Monte Carlo method : Two-dimensional melting and perfect sampling

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Algorithms and applications of the Monte Carlo method : Two-dimensional melting and perfect sampling

Algorithms and applications of the Monte Carlo method : Two-dimensional melting and perfect sampling

... three and in two dimensions hard disks occupy a special place in statistical ...from the virial expansion by van der Waals and Boltzmann, to two-dimensional melting ... Voir le document complet

161

Theoretical contributions to Monte Carlo methods, and applications to Statistics

Theoretical contributions to Monte Carlo methods, and applications to Statistics

... matter of fact, it is known that the performance of most sampling schemes deteriorates very fast when the dimension ...Approximate sampling for high di- mensional probability ... Voir le document complet

151

A hamiltonian Monte Carlo method for non-smooth energy sampling

A hamiltonian Monte Carlo method for non-smooth energy sampling

... with the I2M and CNRS UMR 7373, Aix-Marseille University, Marseille Cedex, France (e-mail: ...to the complex form of the associated efficient ...to the posterior using Markov ... Voir le document complet

11

Sequential Monte Carlo and Applications in Molecular Dynamics

Sequential Monte Carlo and Applications in Molecular Dynamics

... Sequential Monte Carlo Generally speaking, Sequential Monte Carlo methods (SMC) are a set of simulation-based meth- ods aiming at sampling a sequence of probability or ... Voir le document complet

203

A hamiltonian Monte Carlo method for non-smooth energy sampling

A hamiltonian Monte Carlo method for non-smooth energy sampling

... with the I2M and CNRS UMR 7373, Aix-Marseille University, Marseille Cedex, France (e-mail: ...to the complex form of the associated efficient ...to the posterior using Markov ... Voir le document complet

12

Two-Dimensional Melting of a Crystal of Ferrofluid Spikes

Two-Dimensional Melting of a Crystal of Ferrofluid Spikes

... report the observation of the transition from an ordered solid-like phase to a disordered liquid- like phase of a lattice of spikes on a ferrofluid surface submitted to horizontal ... Voir le document complet

6

Monte Carlo efficiency improvement by multiple sampling of conditioned integration variables

Monte Carlo efficiency improvement by multiple sampling of conditioned integration variables

... is the variance of A n , and C A n the computational cost required to calculate A n ...on the specific problem, several variance reduction techniques might permit to increase the ... Voir le document complet

6

An Overview of Cloud Simulation Enhancement using the Monte-Carlo Method

An Overview of Cloud Simulation Enhancement using the Monte-Carlo Method

... distribution of simulated makespans covers fairly well the ranges of observed makespans, notwithstanding a slight right skew and shift of the empirical makespan ...Likewise ... Voir le document complet

3

Confidence bands for Brownian motion and applications to Monte Carlo simulation

Confidence bands for Brownian motion and applications to Monte Carlo simulation

... a Monte Carlo estimation procedure, the path produced by successive partial estimates is often used as a guide for informal convergence ...However the confidence region associated with that ... Voir le document complet

21

Probability Distributions from Riemannian Geometry, Generalized Hybrid Monte Carlo Sampling and Path Integrals

Probability Distributions from Riemannian Geometry, Generalized Hybrid Monte Carlo Sampling and Path Integrals

... between the two geometries. The postulate of metricity inherent to Riemannian space is a “sine qua non” condition in order to be able to define the very concepts of distance ... Voir le document complet

11

Continuous-Time Quantum Monte Carlo Impurity Solvers: Improvements and Applications

Continuous-Time Quantum Monte Carlo Impurity Solvers: Improvements and Applications

... The only impurity solvers up to date which allow an infinite number of bath levels and give statically exact solutions are the continuous-time quantum Monte Carlo CT-QMC impurity solvers [r] ... Voir le document complet

109

Comonotonic Monte Carlo and its applications in option pricing and quantification of risk

Comonotonic Monte Carlo and its applications in option pricing and quantification of risk

... illustrate the performance of the CoMC method to estimate the price of an Asian option when the underlying asset follows a variance gamma ...maturity of 1 year ... Voir le document complet

22

Determination of the bulk melting temperature of nickel using Monte Carlo simulations: Inaccuracy of extrapolation from cluster melting temperatures

Determination of the bulk melting temperature of nickel using Monte Carlo simulations: Inaccuracy of extrapolation from cluster melting temperatures

... shows the results for the ␭ simulations and the Gibbs free energies as a function of T resulting from the ␤ ...for two systems of different sizes. The ␭ ... Voir le document complet

10

A Monte-Carlo Method for Optimal Portfolios

A Monte-Carlo Method for Optimal Portfolios

... of the hedging components of optimal portfolios. One of our procedures relies on a variance-stabilizing transformation of the underlying process which eliminates stochastic ... Voir le document complet

50

Angle-selective perfect absorption with two-dimensional materials

Angle-selective perfect absorption with two-dimensional materials

... CONFLICT OF INTEREST The authors declare no con flict of ...at the Stanford Nanofabrication Facility, which is supported by the National Science Foundation through the National ... Voir le document complet

7

Sampling from a log-concave distribution with Projected Langevin Monte Carlo

Sampling from a log-concave distribution with Projected Langevin Monte Carlo

... in the recent paper Dalalyan [ 2014 ]. The latter result is the starting point of our ...extend the analysis of Dalalyan to the constrained case is to run the ... Voir le document complet

23

Three-dimensional Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method

Three-dimensional Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method

... Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method general ...problems. The disordered topology is ... Voir le document complet

9

Aether: An Embedded Domain Specific Sampling Language for Monte Carlo Rendering

Aether: An Embedded Domain Specific Sampling Language for Monte Carlo Rendering

... simpli�es the implementation of unbiased Monte Carlo ...relieve the programmer of the tasks of deriving and implementing proba- bility density functions, ... Voir le document complet

17

Monte Carlo Method Applied to the ABV Model of an Interconnect Alloy

Monte Carlo Method Applied to the ABV Model of an Interconnect Alloy

... image of an electronic component soldered on a FR4 substrate, showing air bubbles on the thickness of the lead-free solder Thermal effects in the ICA in the presence porosities ... Voir le document complet

6

Aether: An embedded domain specific sampling language for Monte Carlo rendering

Aether: An embedded domain specific sampling language for Monte Carlo rendering

... simpli�es the implementation of unbiased Monte Carlo ...relieve the programmer of the tasks of deriving and implementing proba- bility density functions, ... Voir le document complet

17

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