04428nam 2200709 a 450 991046134570332120200520144314.01-283-16634-897866131663403-11-025021-710.1515/9783110250213(CKB)2670000000088767(EBL)690643(OCoLC)723945523(SSID)ssj0000530390(PQKBManifestationID)11338674(PQKBTitleCode)TC0000530390(PQKBWorkID)10561275(PQKB)10276954(MiAaPQ)EBC690643(DE-B1597)114002(OCoLC)754713662(OCoLC)840446286(DE-B1597)9783110250213(Au-PeEL)EBL690643(CaPaEBR)ebr10486547(CaONFJC)MIL316634(EXLCZ)99267000000008876720100910d2011 uy 0engur|n|---|||||txtccrOptimization in function spaces[electronic resource] with stability considerations in Orlicz spaces /Peter Kosmol, Dieter Müller-WichardsBerlin ;New York De Gruyter20111 online resource (404 p.)De Gruyter series in nonlinear analysis and applications,0941-813X ;13Description based upon print version of record.3-11-025020-9 Includes bibliographical references and index. Frontmatter -- Preface -- Contents -- 1 Approximation in Orlicz Spaces -- 2 Polya Algorithms in Orlicz Spaces -- 3 Convex Sets and Convex Functions -- 4 Numerical Treatment of Non-linear Equations and Optimization Problems -- 5 Stability and Two-stage Optimization Problems -- 6 Orlicz Spaces -- 7 Orlicz Norm and Duality -- 8 Differentiability and Convexity in Orlicz Spaces -- 9 Variational Calculus -- Bibliography -- List of Symbols -- IndexThis is an essentially self-contained book on the theory of convex functions and convex optimization in Banach spaces, with a special interest in Orlicz spaces. Approximate algorithms based on the stability principles and the solution of the corresponding nonlinear equations are developed in this text. A synopsis of the geometry of Banach spaces, aspects of stability and the duality of different levels of differentiability and convexity is developed. A particular emphasis is placed on the geometrical aspects of strong solvability of a convex optimization problem: it turns out that this property is equivalent to local uniform convexity of the corresponding convex function. This treatise also provides a novel approach to the fundamental theorems of Variational Calculus based on the principle of pointwise minimization of the Lagrangian on the one hand and convexification by quadratic supplements using the classical Legendre-Ricatti equation on the other. The reader should be familiar with the concepts of mathematical analysis and linear algebra. Some awareness of the principles of measure theory will turn out to be helpful. The book is suitable for students of the second half of undergraduate studies, and it provides a rich set of material for a master course on linear and nonlinear functional analysis. Additionally it offers novel aspects at the advanced level. From the contents: Approximation and Polya Algorithms in Orlicz Spaces Convex Sets and Convex Functions Numerical Treatment of Non-linear Equations and Optimization Problems Stability and Two-stage Optimization Problems Orlicz Spaces, Orlicz Norm and Duality Differentiability and Convexity in Orlicz Spaces Variational Calculus De Gruyter series in nonlinear analysis and applications ;13.StabilityMathematical modelsMathematical optimizationOrlicz spacesElectronic books.StabilityMathematical models.Mathematical optimization.Orlicz spaces.515/.392SK 600rvkKosmol Peter1055406Müller-Wichards D(Dieter),1946-1055407MiAaPQMiAaPQMiAaPQBOOK9910461345703321Optimization in function spaces2488774UNINA