The lack of reliable information on actual characteristics and parameters is the main deterrent to the effective application of mathematical and computer modelling methods for solving problems of optimal reconstruction, adjustment, and development of operational problems.The lack of such information is solved on the basis of applying the identification problems that require expert (approximate) specification of a priori parameter values.This leads to the sensitivity of the wilds of eldraine prerelease guide solution of identifying a problem to the errors stickers logos dallas cowboys in setting the initial information.One way to solve this problem is to apply regularization methods.
In this paper, a numerical example proposes a rule for expert assignment of a priori information on the parameters of elements, which makes it possible to minimize its influence on the results of planning active experiments.In addition, the paper shows the independence of the solution of the identification problem from the composition of the vector of independent parameters.