STATISTICAL MODELING AND DESCRETE OPTIMISATION PROBLEMS IN DESIGIN MAKING PROCESSES
This paper concernes methods of mathematical rules creation for selecting a decision variation using methods of statistical classification and recognition. Methods of learning sample analysis and algorithms af multirow selection of mathematical models are studied. Athough a method of calculation or cities coordinates by disance matrix of travelling salesman problem and ways of error minimisation are studied. Parallel algorithms for latter problem is suggested.