Monte Carlo Method: Accuracy of Asymptotic Solutions and Quality of Pseudorandom Number Generators
The goals of improving the efficiency of Monte Carlo calculations are considered. The key role is assigned to selection of a body of statistical tests (simulated random numbers) and to the quality of random number generators. Problems of implementation of the Monte Carlo algorithms attributed to the goal of increasing rate of convergence of asymptotic solutions to the true solutions are discussed.