Optimization in Function Spaces: With Stability Considerations in Orlicz Spaces

Front Cover
Walter de Gruyter, 2011 - Mathematics - 388 pages
0 Reviews
This 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. And it is provided 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.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

1 Approximation in Orlicz Spaces
1
2 Polya Algorithms in Orlicz Spaces
34
3 Convex Sets and Convex Functions
72
4 Numerical Treatment of Nonlinear Equations and Optimization Problems
115
5 Stability and Twostage Optimization Problems
129
6 Orlicz Spaces
175
7 Orlicz Norm and Duality
214
8 Differentiability and Convexity in Orlicz Spaces
241
9 Variational Calculus
309
Bibliography
371
List of Symbols
379
Index
381
Copyright

Other editions - View all

Common terms and phrases

About the author (2011)

Peter Kosmol,Christian Albrechts University, Kiel, Germany;Dieter Müller-Wichards,Hamburg University of Applied Sciences, Germany.

Bibliographic information