Monte Carlo Methods and Applications
Managing Editor: Sabelfeld, Karl K.
Editorial Board: Binder, Kurt / Bouleau, Nicolas / Chorin, Alexandre J. / Dimov, Ivan / Dubus, Alain / Egorov, Alexander D. / Ermakov, Sergei M. / Halton, John H. / Heinrich, Stefan / Kalos, Malvin H. / Lepingle, D. / Makarov, Roman / Mascagni, Michael / Mathe, Peter / Niederreiter, Harald / Platen, Eckhard / Sawford, Brian R. / Schmid, Wolfgang Ch. / Schoenmakers, John / Simonov, Nikolai A. / Sobol, Ilya M. / Spanier, Jerry / Talay, Denis
4 Issues per year
CiteScore 2016: 0.70
SCImago Journal Rank (SJR) 2016: 0.647
Source Normalized Impact per Paper (SNIP) 2016: 0.908
Mathematical Citation Quotient (MCQ) 2016: 0.33
Investigation of methods of numerical integration with optimal convergence speed
The comparison of optimal algorithms in functional Bachvalov classes with special importance sampling technique and simplest stochastic and deterministic methods of numerical integration is presented. This comparison was provided with the help of stochastic test system, which uses the samples of spectral models of random fields. The advantages of this system (in particular, the possibilities of getting functions of needed class and estimates of mean error) are shown. The cases, when the effectiveness of theoretically optimal algorithms is not higher compared with the importance sampling technique and methods of numerical integration, are discovered.