Including the derivative information into statistical models used in global optimization

Forecasting of unknown values of the objective function in question is needed to search rationally for the global minimum. Statistical models are used to define the probabilistic characteristics of an unknown value with respect to the values computed at the previous iterations. A new idea, discussed in this paper, is to include the known derivatives into information aimed at fore-casting.