Ways to Develop Computing Means for Solving Large Optimal Planning and Control Problems

The solution of large optimal planning and control problems requires very cumbersome computational operations that are based on a very large body of initial data and that require the large volume of data processing entailed in the application of modern mathematical methods. One encounters a large volume of computations both in precise methods (linear algebra, linear programming, etc.) and in iterative, gradient, and especially combinatorial methods, in the methods of scanning, discrete and stochastic programming, and simulation methods. The complexity of the problems and the volume of the computations increase considerably with the transition from static to dynamic and forecasting problems.