Add to ORKGThe Monte Carlo Methods have been applied with great success to the solution of electromagnetic problems in Cartesian and cylindrical coordinates systems, but have not been widely used in tspherical coordinates system. In this paper, we briefly show the use of a Fixed Random Walk Monte Carlo Method to compute potential distribution in a conducting spherical shell. The results obtained perfectly agreed with those obtained using explicit finite difference method. Also, the approach adopted to overcome singularities encountered in the co-latitude coordinates of the spherical system was highlighted
We propose a new Markov Chain Monte Carlo (MCMC) method for constrained target distributions. Our me...
A multiple step fixed random walk Monte Carlo method for solving heat conduction in solids with dist...
AbstractThis paper describes a Monte Carlo procedure for the solution of elliptic difference equatio...
This paper presents a fixed random walk Monte Carlo method for computing potential distribution with...
This paper presents the use of the Exodus method to compute the potential distribution in a conducti...
In this paper, we implement the use of Exodus method to compute potential distribution in a conducti...
Abstract Purpose – The purpose of this paper is to demonstrate how Monte Carlo methods can be applie...
A new general stochastic-deterministic approach for a numerical solution of boundary value problems ...
This paper is focused on efficient Monte Carlo simulations of Brownian diffusion effects in particl...
AbstractIn the first part a special class of partial differential equations is considered. An approx...
The Monte Carlo method was used in modelling steady state heat conduction problems. The method uses ...
We present new Monte Carlo algorithms for extracting mutual capacitances for a system of conductors ...
Many of the most fundamental forces in nature are dependent of the relative distance between points....
A series expansion is derived for the potential distribution, caused by a dipole source in a multila...
We introduce the basics of the Monte Carlo method that allows computing areas and definite integral...
We propose a new Markov Chain Monte Carlo (MCMC) method for constrained target distributions. Our me...
A multiple step fixed random walk Monte Carlo method for solving heat conduction in solids with dist...
AbstractThis paper describes a Monte Carlo procedure for the solution of elliptic difference equatio...
This paper presents a fixed random walk Monte Carlo method for computing potential distribution with...
This paper presents the use of the Exodus method to compute the potential distribution in a conducti...
In this paper, we implement the use of Exodus method to compute potential distribution in a conducti...
Abstract Purpose – The purpose of this paper is to demonstrate how Monte Carlo methods can be applie...
A new general stochastic-deterministic approach for a numerical solution of boundary value problems ...
This paper is focused on efficient Monte Carlo simulations of Brownian diffusion effects in particl...
AbstractIn the first part a special class of partial differential equations is considered. An approx...
The Monte Carlo method was used in modelling steady state heat conduction problems. The method uses ...
We present new Monte Carlo algorithms for extracting mutual capacitances for a system of conductors ...
Many of the most fundamental forces in nature are dependent of the relative distance between points....
A series expansion is derived for the potential distribution, caused by a dipole source in a multila...
We introduce the basics of the Monte Carlo method that allows computing areas and definite integral...
We propose a new Markov Chain Monte Carlo (MCMC) method for constrained target distributions. Our me...
A multiple step fixed random walk Monte Carlo method for solving heat conduction in solids with dist...
AbstractThis paper describes a Monte Carlo procedure for the solution of elliptic difference equatio...