Optimization on Metric and Normed Spaces

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"Optimization on Metric and Normed Spaces" is devoted to the recent progress in optimization on Banach spaces and complete metric spaces. Optimization problems are usually considered on metric spaces satisfying certain compactness assumptions which guarantee the existence of solutions and convergence of algorithms. This book considers spaces that do not satisfy such compactness assumptions. In order to overcome these difficulties, the book uses the Baire category approach and considers approximate solutions. Therefore, it presents a number of new results concerning penalty methods in constrained optimization, existence of solutions in parametric optimization, well-posedness of vector minimization problems, and many other results obtained in the last ten years. The book is intended for mathematicians interested in optimization and applied functional analysis.

Author(s): Alexander J. Zaslavski (auth.)
Series: Springer Optimization and Its Applications 44
Edition: 1
Publisher: Springer-Verlag New York
Year: 2010

Language: English
Pages: 434
Tags: Operations Research, Mathematical Programming; Calculus of Variations and Optimal Control, Optimization; Functional Analysis

Front Matter....Pages i-xiii
Introduction....Pages 1-10
Exact Penalty in Constrained Optimization....Pages 11-79
Stability of the Exact Penalty....Pages 81-120
Generic Well-Posedness of Minimization Problems....Pages 121-180
Well-Posedness and Porosity....Pages 181-224
Parametric Optimization....Pages 225-265
Optimization with Increasing Objective Functions....Pages 267-309
Generic Well-Posedness of Minimization Problems with Constraints....Pages 311-347
Vector Optimization....Pages 349-394
Infinite Horizon Problems....Pages 395-425
Back Matter....Pages 427-434