---

＜電子ブック＞
Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity / by Ivan V. Sergienko
(Springer Optimization and Its Applications. ISSN:19316836 ; 72)

版	1st ed. 2012.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2012
本文言語	英語
大きさ	XIV, 226 p : online resource
著者標目	*Sergienko, Ivan V author SpringerLink (Online service)
件　名	LCSH:Mathematical optimization LCSH:Computer simulation LCSH:Image processing -- Digital techniques  全ての件名で検索 LCSH:Computer vision FREE:Optimization FREE:Computer Modelling FREE:Computer Imaging, Vision, Pattern Recognition and Graphics
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-1-4614-4211-0

 類似資料