Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity

Ivan V. Sergienko

ISBN 10: 1461442109 / ISBN 13: 9781461442103

Editore: Springer New York, Springer US Jul 2012, 2012

Riguardo questo articolo

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.

Codice articolo 9781461442103

Dati bibliografici

• Titolo: Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity
• Editore: Springer New York, Springer US Jul 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1461442109
• ISBN 13: 9781461442103
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

This work presents lines of investigation and scientific achievements of the Ukrainian school of optimization theory and adjacent disciplines. These include the development of approaches 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.

Informazioni sull?autore

Sergienko, Ivan V., D. PM. S. Born in 1936. Recipient of the State Prize for Science and Technology in 1972. Corresponding member since 1978. Recipient of the SSSR State Prize in 1981. Awarded the V. M. Glushkov Prize for Cybernetics, Computer Machine and Systems Theory in 1986. Elected an academician in 1988.