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Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sergienko, Ivan V. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Springer Optimization and Its Applications, 72
Temas:
Acceso en línea:Texto Completo

MARC

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250 |a 1st ed. 2012. 
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300 |a XIV, 226 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Springer Optimization and Its Applications,  |x 1931-6836 ;  |v 72 
505 0 |a Preface -- 1. Science Was the Meaning of His Life -- 2. Optimization Methods and Their Efficient Use -- 3. Mathematical Modeling and Analysis of Complex Processes on Supercomputer Systems -- 4. Problems of Modeling and Analysis of Processes in Economic Cybernetics -- 5. Problems of Solving Complicated Combinatorial Problems -- Afterward -- References -- Index. 
520 |a 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. 
650 0 |a Mathematical optimization. 
650 0 |a Computer simulation. 
650 0 |a Image processing-Digital techniques. 
650 0 |a Computer vision. 
650 1 4 |a Optimization. 
650 2 4 |a Computer Modelling. 
650 2 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics. 
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