Monte Carlo simulations of a microwave plasma (frequency 2.45 GHz, pressure 2–15 kPa) in hydrogen are reported. The simulation follows the chaotic motion of a number of electrons and ions under the influence of outer (microwave) and inner (other cha
Monte Carlo simulation has become one of the most important tools in all fields of science. Simulation methodology relies on a good source of numbers that appear to be random. These "pseudorandom" numbers must pass statistical tests just as random s
1 Basic R Programming 2 Random Variable Generation 3 Monte Carlo Integration 4 Controlling and Accelerating Convergence 5 Monte Carlo Optimization 6 Metropolis{Hastings Algorithms 7 Gibbs Samplers 8 Monitoring and Adaptation for MCMC Algorithms