Results 211 to 220 of about 114,035 (266)

Stochastic health risk profiling of potentially toxic elements in Iranian ornamental construction paints: assessing and Monte Carlo simulation. [PDF]

Sci Rep
Ataiesalami F, Tahergorabi M, Dorri H, Khodadadi M, Amiri MM, Rajabi S.   +5 more
europepmc   +1 more source

Evaluating disruption scenarios for improving downstream oil supply chain resilience and cost minimization using Monte Carlo simulation. [PDF]

Sci Rep
Awan MAH, Naseem A, Ahsan A, Shahzad A, Ullah M, Sadiq AS.   +5 more
europepmc   +1 more source

Health risk assessment of potentially toxic elements in bread from Iranian markets using Monte Carlo simulation. [PDF]

Sci Rep
Asadi Touranlou F, Tavakoly Sany SB, Ghayour Mobarhan M, Khanzadi S, Afshari A, Hashemi M.   +5 more
europepmc   +1 more source

Correction to "Dosimetric characteristics of LinaTech DMLC H multi leaf collimator: Monte Carlo simulation and experimental study". [PDF]

J Appl Clin Med Phys
europepmc   +1 more source

Monte-Carlo-Simulation

, 2018
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Monte Carlo simulation in demography

2008 3rd International Conference on Intelligent System and Knowledge Engineering, 2008
This paper is concerned with the application of Monte Carlo method in demography. In the past, most of scholars researched population at the macro level, just little at the micro level. Refer to SOCSIM and CAMSIM, we design a Monte Carlo simulation system in demography, which is micro simulation.
Jiayou Zhang, Qi'an Chen
openaire   +1 more source

Monte Carlo Simulations

2008
A description of Monte Carlo methods for simulation of proteins is given. Advantages and disadvantages of the Monte Carlo approach are presented. The theoretical basis for calculating equilibrium properties of biological molecules by the Monte Carlo method is presented.
David J, Earl, Michael W, Deem
openaire   +2 more sources

Faster Monte Carlo simulations

Physical Review E, 1995
For Monte Carlo simulations of systems of size [ital M], either kinetic simulations or equilibrium simulations that use the method of Bortz, Kalos, and Liebowitz [J. Comput. Phys. [bold 17], 10 (1975)], the best computer time per event has been [ital O]([ital M][sup 1/2]). We present two methods whose computer time per event is [ital O]([ital M][sup 1/[
, Blue, , Beichl, , Sullivan
openaire   +2 more sources

Monte-Carlo simulation balancing

Proceedings of the 26th Annual International Conference on Machine Learning, 2009
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation policy, so that an accurate spread of simulation outcomes is maintained, rather than optimising the direct strength of the simulation policy.
David Silver 0001, Gerald Tesauro
openaire   +1 more source

Monte Carlo Simulation of Transport

Journal of Computational Physics, 1996
This paper is concerned with the problem of transport in controlled nuclear fusion as it applies to confinement in a tokamak or stellarator. Numerical experiments validate a mathematical model of Paul R. Garabedian in which the electric potential is determined by quasineutrality because of singular perturbation of the Poisson equation.
openaire   +1 more source