Regression and Tensor Simulation of Multifactor Optimization of Process of Low- Temperature Sulfur-Chromium Plating. Part 1

A universal approach to the regression and tensor simulation of optimal parameters of the multifactor chemical-technological process of handling of complex mechanical parts is developed. The approach is based on presentation of the chemical-technological process by the multidimensional regression mathematical model as a specified sum of covariant tensors with a fixed valence and makes minimum demands to both a volume of experimental data required for parametric identification of tensor model and an amount of calculations for determination (according to this model) of optimal functionalcharacteristics of the chemical-technological process.