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1992 | Buch

Minimax Models in the Theory of Numerical Methods

verfasst von: Aleksei G. Sukharev

Verlag: Springer Netherlands

Buchreihe : Theory and Decision Library

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SUCHEN

Über dieses Buch

In the Russian edition published in 1989, this book was called "Minimax Algorithms in Problems of Numerical Analysis". The new title is better related to the subject of the book and its style. The basis for every decision or inference concerning the ways to solve a given problem is the computa­ tion model. Thus, the computation model is the epicenter of any structure studied in the book. Algorithms are not constructed here, they are rather derived from computation models. Quality of an algorithm depends entirely on consistency of the model with the real-life problem. So, constructing a model is an art, deriving an algorithm is a science. We study only minimax or, in other words, worst-case computation models. However, one of the characteristic features of the book is a new approach to the notion of the worst-case conditions in dynamic processes. This approach leads to the concept of sequentially optimal algorithms, which play the central role in the book. In conclusion, I would like to express my gratitude to Prof. Dr. Heinz J. Skala and Dr. Sergei A. Orlovsky for encouraging translation of this book. I also greatly appreciate the highly professional job of Dr. Olga R. Chuyan who translated the book.

Inhaltsverzeichnis

Frontmatter
Chapter 1. General Computation Model
Abstract
In this chapter, we discuss the main elements of all the subsequent constructions: functional or operator to be approximated corresponding to the problem being solved; dass of algorithms that can be used to solve the problem; criterion far estimating efficiency of algorithms; general concept of optimality; and, finally, specific notion of algorithm’s optimality in the framework of the adopted setting. Combination of all these elements forms the so-called computation model. We obtain some general results which enable us to solve certain principle methodologial problems and are frequently used in the further constructions.
Aleksei G. Sukharev
Chapter 2. Numerical Integration
Abstract
In this chapter, we consider numerical integration of functions of one or more variables. We derive optimal quadrature formulas, optimal adaptive, nonadaptive, and sequentially optimal integration algorithms for various functional classes. We analyze the influence of computational errors on the accuracy of the solution. We also deal with the problem of program implementation of the algorithms derived.
Aleksei G. Sukharev
Chapter 3. Recovery of Functions from Their Values
Abstract
In this chapter, we deal with the problem of approximating functions on the basis of their values at a finite number of points. We derive optimal deterministic nonadaptive algorithms and show that adaption does not help improve the result guaranteed in the dass of all nonadaptive algorithms. We also obtain a sequentially optimal algorithm for functions of one variable.
Aleksei G. Sukharev
Chapter 4. Search for the Global Extremum
Abstract
In this chapter, we deal with problems of optimal search for the maximum of a function of one or more variables. For functional classes determined by quasi-metrics, we derive optimal deterministic and stochastic nonadaptive algorithms, as well as one-step optimal deterministic and stochastic algorithms and a sequentiaUy optimal deterministic algorithm.
Aleksei G. Sukharev
Chapter 5. Some Special Classes of Extremal Problems
Abstract
In this chapter, we study optimal methods for solving nonlinear equations and systems of equations and for maximizing a minimum function with constrained variables, and also optimal methods for solving multi-criterion problems. All these problems essentially fit into the computation model of Chapter 1 and can be represented as extremal problems of some special type.
Aleksei G. Sukharev
Backmatter
Metadaten
Titel
Minimax Models in the Theory of Numerical Methods
verfasst von
Aleksei G. Sukharev
Copyright-Jahr
1992
Verlag
Springer Netherlands
Electronic ISBN
978-94-011-2759-2
Print ISBN
978-94-010-5225-2
DOI
https://doi.org/10.1007/978-94-011-2759-2