Stochastical computation methods and experimental designing

This paper contains a brief review of the most important results obtained by staff department statistical modeling. Results include mathematical justification computer simulation randomness, stochastic methods solving equations, optimization, study stability and parallelism Monte-Carlo algorithms. In area experiment planning, special attention is paid to regression under nonlinear parameterization. The list references mainly includes monographs written members department. exceptions are some articles with not included in them.