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2001 | Buch

Combined Relaxation Methods for Variational Inequalities

verfasst von: Igor Konnov

Verlag: Springer Berlin Heidelberg

Buchreihe : Lecture Notes in Economics and Mathematical Systems

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Über dieses Buch

Variational inequalities proved to be a very useful and powerful tool for in­ vestigation and solution of many equilibrium type problems in Economics, Engineering, Operations Research and Mathematical Physics. In fact, varia­ tional inequalities for example provide a unifying framework for the study of such diverse problems as boundary value problems, price equilibrium prob­ lems and traffic network equilibrium problems. Besides, they are closely re­ lated with many general problems of Nonlinear Analysis, such as fixed point, optimization and complementarity problems. As a result, the theory and so­ lution methods for variational inequalities have been studied extensively, and considerable advances have been made in these areas. This book is devoted to a new general approach to constructing solution methods for variational inequalities, which was called the combined relax­ ation (CR) approach. This approach is based on combining, modifying and generalizing ideas contained in various relaxation methods. In fact, each com­ bined relaxation method has a two-level structure, i.e., a descent direction and a stepsize at each iteration are computed by finite relaxation procedures.

Inhaltsverzeichnis

Frontmatter
Notation and Convention
Abstract
As usual, we denote by Rn the real n-dimensional Euclidean space, its elements being column vectors. We use superscripts to denote different vectors, the superscript T denotes transpose. Subscripts are used to denote different scalars or components of vectors.
Igor Konnov
1. Variational Inequalities with Continuous Mappings
Abstract
In this chapter, we consider basic schemes of combined relaxation (CR) methods and implementable algorithms for solving variational inequality problems with continuous single-valued mappings under a finite-dimensional space setting.
Igor Konnov
2. Variational Inequalities with Multivalued Mappings
Abstract
In this chapter, we consider combined relaxation (CR) methods for solving variational inequalities which involve a multivalued mapping or a nonsmooth function.
Igor Konnov
3. Applications and Numerical Experiments
Abstract
In this chapter, we discuss possible applications of CR methods, especially to economic equilibrium problems. There exist several excellent books and surveys which are devoted to various applications of VI’s; e.g., see [9, 45, 55, 66, 70, 80, 154, 166, 212]. But, on the one hand, the description of all possible applications of CR methods would force us to include great supplementary material and to essentially increase the volume of this book. We hope that the results of the previous chapters and the descriptions from the works above enable one to evaluate most of such applications. On the other hand, we have proved that CR methods are convergent under rather mild assumptions and we would like to reveal their properties for a broad class of applied problems. For this reason, we restrict ourself with economic applications and, besides, choose typical test problems, which model usual properties of problems in other areas. Of course, we compare results for CR methods with those of other iterative methods having similar convergence properties. To make our work more self-contained we give the description of most such methods in the first section of this chapter.
Igor Konnov
4. Auxiliary Results
Abstract
In this chapter, we give some results which either were formulated in the preceding chapters or clarify the origin of some methods which were used as parts of CR methods. We also describe finite algorithms which can be viewed as some realizations of feasible quasi-nonexpansive mappings.
Igor Konnov
Backmatter
Metadaten
Titel
Combined Relaxation Methods for Variational Inequalities
verfasst von
Igor Konnov
Copyright-Jahr
2001
Verlag
Springer Berlin Heidelberg
Electronic ISBN
978-3-642-56886-2
Print ISBN
978-3-540-67999-8
DOI
https://doi.org/10.1007/978-3-642-56886-2