Narrow your search
Listing 1 - 5 of 5
Sort by

Book
Over de lineaire omhullende in convexiteitsruimten
Author:
Year: 1977 Publisher: Brussel : Paleis der Academiën,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Some topological and geometrical structures in Banach spaces
Authors: --- ---
ISBN: 0821824414 Year: 1987 Publisher: Providence (R.I.): American Mathematical Society

Loading...
Export citation

Choose an application

Bookmark

Abstract

Foundations of complex analysis in non locally convex spaces : function theory without convexity condition
Author:
ISBN: 1281029505 9786611029500 008053192X 0444500561 9780444500564 9780080531922 9781281029508 6611029508 Year: 2003 Publisher: Amsterdam ; Boston : Elsevier,

Loading...
Export citation

Choose an application

Bookmark

Abstract

All the existing books in Infinite Dimensional Complex Analysis focus on the problems of locally convex spaces. However, the theory without convexity condition is covered for the first time in this book. This shows that we are really working with a new, important and interesting field. Theory of functions and nonlinear analysis problems are widespread in the mathematical modeling of real world systems in a very broad range of applications. During the past three decades many new results from the author have helped to solve multiextreme problems arising from important situations, non-c

Duality for nonconvex approximation and optimization
Author:
ISBN: 1280804319 9786610804313 0387283951 0387283943 1441921036 Year: 2006 Publisher: New York : Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

In this monograph the author presents the theory of duality for nonconvex approximation in normed linear spaces and nonconvex global optimization in locally convex spaces. Key topics include: * duality for worst approximation (i.e., the maximization of the distance of an element to a convex set) * duality for reverse convex best approximation (i.e., the minimization of the distance of an element to the complement of a convex set) * duality for convex maximization (i.e., the maximization of a convex function on a convex set) * duality for reverse convex minimization (i.e., the minimization of a convex function on the complement of a convex set) * duality for d.c. optimization (i.e., optimization problems involving differences of convex functions). Detailed proofs of results are given, along with varied illustrations. While many of the results have been published in mathematical journals, this is the first time these results appear in book form. In addition, unpublished results and new proofs are provided. This monograph should be of great interest to experts in this and related fields. Ivan Singer is a Research Professor at the Simion Stoilow Institute of Mathematics in Bucharest, and a Member of the Romanian Academy. He is one of the pioneers of approximation theory in normed linear spaces, and of generalizations of approximation theory to optimization theory. He has been a Visiting Professor at several universities in the U.S.A., Great Britain, Germany, Holland, Italy, and other countries, and was the principal speaker at an N. S. F. Regional Conference at Kent State University. He is one of the editors of the journals Numerical Functional Analysis and Optimization (since its inception in 1979), Optimization, and Revue d'analyse num'erique et de th'eorie de l'approximation. His previous books include Best Approximation in Normed Linear Spaces by Elements of Linear Subspaces (Springer 1970), The Theory of Best Approximation and Functional Analysis (SIAM 1974), Bases in Banach Spaces I, II (Springer, 1970, 1981), and Abstract Convex Analysis (Wiley-Interscience, 1997).


Book
Generalized convexity and vector optimization
Authors: --- --- ---
ISBN: 3540856706 3642099300 9786611955267 1281955264 3540856714 Year: 2009 Publisher: Berlin ; Heidelberg : Springer-Verlag,

Loading...
Export citation

Choose an application

Bookmark

Abstract

The present book discusses the Kuhn-Tucker Optimality, Karush-Kuhn-Tucker Necessary and Sufficient Optimality Conditions in presence of various types of generalized convexity assumptions. Wolfe-type Duality, Mond-Weir type Duality, Mixed type Duality for Multiobjective optimization problems such as Nonlinear programming problems, Fractional programming problems, Nonsmooth programming problems, Nondifferentiable programming problems, Variational and Control problems under various types of generalized convexity assumptions.

Listing 1 - 5 of 5
Sort by