MODELING OF KIROV REGION ECONOMY BY PARALLEL PROGRAMMING TECHNOLOGIES
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Modeling of complicated economic systems represents creation of dynamic models containing a considerable quantity of parameters. It is convenient to use parallel calculations by scanning a grid of intervals for required parameters for identification of such models. Model verification occurs on statistical time series of economic macroindexes. Adequacy of model is estimated on the basis of maximization of convolution of affinity criteria for calculated and statistical data. The parallel program for model identification is written on C++ language with the use of the message passing interface (MPI) and is realized on the Vyatka State University cluster supercomputer. On the base of identified model some scenarios of economic development for Kirov region are counted. They allow making estimation for economic situation in regional economy.