Methods of optimization and systems analysis for problems of transcomputational complexity [electronic resource]
- 作者： Sergienko, Ivan V.
- 其他作者：
- 其他題名：
- Springer optimization and its applications ;
- 出版： New York, NY : Springer New York :Imprint: Springer
- 叢書名： Springer optimization and its applications ;v.72
- 主題： Mathematical optimization , System analysis , Computational complexity , Mathematics , Optimization. , Simulation and Modeling. , Computer Imaging, Vision, Pattern Recognition and Graphics.
- ISBN： 9781461442110 (electronic bk.) 、 9781461442103 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
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讀者標籤：
- 系統號： 005085573 | 機讀編目格式
館藏資訊
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.