Minimax Models in the Theory of Numerical Methods: v. 21 - Rilegato

Sukharev, A. G.

 
9780792318217: Minimax Models in the Theory of Numerical Methods: v. 21

Sinossi

The efficiency of computational methods and the choice of the most efficient methods for solving a specific problem or a specific class of problems have always played an important role in numerical analysis. Optimization of the computerized solution process is now a major problem of applied mathematics, which stimulates the search for new computational methods and ways to implement them. In "Minimax Models in the theory of Numerical Methods", methods for estimating the efficiency of computational algorithms and problems of their optimality are studied within the framework of a general computation model. The subjects dealt with in this are very different from the traditional subjects of computational methods. Close attention is paid to adaptive (sequential) computational algorithms, the process of computation being regarded as a controlled process and the algorithm as a control strategy. This approach allows methods of game theory and other methods of operations research and systems analysis to be widely used for constructing optimal algorithms. The goal underlying the study of the various comutation models dealt with in this title is the construction of concrete numerical algorithms admitting programme implementation. The central role belongs to the concept of a sequentially optimal algorithms, which in many cases reflects the characterics of real-life computational processes more fully than the traditional optimality concepts.

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Contenuti

Preface to the English Edition. Preface. Glossary of Symbols. 1. General Computation Model. 2. Numerical Integration. 3. Recovery of Functions from Their Values. 4. Search for the Global Extremum. 5. Some Special Classes of Extremal Problems. Bibliography. Author Index. Subject Index.

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Altre edizioni note dello stesso titolo

9789401052252: Minimax Models in the Theory of Numerical Methods: 21

Edizione in evidenza

ISBN 10:  9401052255 ISBN 13:  9789401052252
Casa editrice: Springer, 2012
Brossura