04090nam a22004815i 4500 978-0-387-28395-1 DE-He213 20260521091848.0 cr nn 008mamaa 100301s2006 xxu| s |||| 0|eng d 9780387283951 99780387283951 10.1007/0-387-28395-1 doi CICY 515.724 23 Singer, Ivan. author. Duality for Nonconvex Approximation and Optimization [recurso electrónico] / by Ivan Singer. New York, NY : Springer New York, 2006. XIX, 355 p. 17 illus. online resource. text txt rdacontent computer c rdamedia recurso en línea cr rdacarrier text file PDF rda CMS Books in Mathematics, 1613-5237 Preliminaries -- Worst Approximation -- Duality for Quasi-convex Supremization -- Optimal Solutions for Quasi-convex Maximization -- Reverse Convex Best Approximation -- Unperturbational Duality for Reverse Convex Infimization -- Optimal Solutions for Reverse Convex Infimization -- Duality for D.C. Optimization Problems -- Duality for Optimization in the Framework of Abstract Convexity -- Notes and Remarks. 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 In addition, unpublished results and new proofs are provided.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). MATHEMATICS. FUNCTIONAL ANALYSIS. OPERATOR THEORY. MATHEMATICAL OPTIMIZATION. MATHEMATICS. OPERATOR THEORY. FUNCTIONAL ANALYSIS. OPTIMIZATION. APPROXIMATIONS AND EXPANSIONS. SpringerLink (Online service) Springer eBooks Printed edition: 9780387283944 CMS Books in Mathematics, 1613-5237 http://dx.doi.org/10.1007/0-387-28395-1 Ver el texto completo en las instalaciones del CICY ddc ER 32759 32759 0 0 ddc 0 0 LE CICY CICY EL 2025-07-10 0 515.724 2025-07-10 08:39:41 2025-07-10 ER