Data planning and analysis for synthesis of multidimensional laws (nonlinear multifactor analysis)

The methodology of data planning and analysis for synthesis of multidimensional laws using visualization is described along with the ensuing method of numerical data approximation by functions with “separable” variables. The method is developed for the cases of source data presented as (a) a table where all cells are filled, (b) an orthogonal table where quite certain cells are filled, and (c) a table where, generally speaking, arbitrary cells are not filled. The method was successfully applied for different problems of nuclear science and technology.