Methods Of Optimization And Systems Analysis For Problems Of Transcomputational Complexity (springer Optimization And Its Applications)

Methods Of Optimization And Systems Analysis For Problems Of Transcomputational Complexity (springer Optimization And Its Applications)
by Ivan V. Sergienko / / / PDF


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This work presents lines of investigation and scientific achievements of the Ukrainian school of optimization theory and adjacent disciplines. These include the development ofapproaches to mathematical theories, methodologies, methods, and application systems for the solution of applied problems in economy, finances, energy saving, agriculture, biology, genetics, environmental protection, hardware and software engineering, information protection, decision making, pattern recognition, self-adapting control of complicated objects, personnel training, etc. The methods developed include sequential analysis of variants, nondifferential optimization, stochastic optimization, discrete optimization, mathematical modeling, econometric modeling, solution of extremum problems on graphs, construction of discrete images and combinatorial recognition, etc. Some of these methods became well known in the world's mathematical community and are now known as classic methods.

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