Cantitate/Preț
Produs

Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity: Springer Optimization and Its Applications, cartea 72

Autor Ivan V. Sergienko
en Limba Engleză Hardback – 27 iul 2012
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.
Citește tot Restrânge

Din seria Springer Optimization and Its Applications

Preț: 40532 lei

Puncte Express: 608

Carte tipărită la comandă

Livrare economică 30 noiembrie-14 decembrie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.

Specificații

ISBN-13: 9781461442103
ISBN-10: 1461442109
Pagini: 240
Ilustrații: XIV, 226 p.
Dimensiuni: 160 x 241 x 17 mm
Greutate: 0.48 kg
Ediția:2012
Editura: Springer
Colecția Springer Optimization and Its Applications
Seria Springer Optimization and Its Applications

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

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.

Notă biografică

¿Ivan V. Sergienko is the Director of the V.M. Glushkov Institute of Cybernetics of the National Academy of Science of Ukraine.
Valeriy K. Zadiraka is Head of the Department of Numerical Methods for Optimization at the V.M. Glushkov Institute of Cybernetics of the National Academy of Science of Ukraine.
Oleg M. Lytvyn is Professor at the Department of Information Computing Technology and Mathematics at the Ukrainian Engineering Pedagogical Academy.

Textul de pe ultima copertă

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.

Caracteristici

Offers an interesting and rigorous presentation of modern optimization and adjacent disciplines Presents research from a well-known school of optimization originating in Ukraine Enables the students of informatics and cybernetics to refine their specialization Includes supplementary material: sn.pub/extras Includes supplementary material: sn.pub/extras