Approximation of Set-Valued Functions

Adaptation of Classical Approximation Operators

Nonfiction, Science & Nature, Mathematics, Game Theory, Applied
Cover of the book Approximation of Set-Valued Functions by Nira Dyn, Elza Farkhi, Alona Mokhov, World Scientific Publishing Company
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Author: Nira Dyn, Elza Farkhi, Alona Mokhov ISBN: 9781783263042
Publisher: World Scientific Publishing Company Publication: October 30, 2014
Imprint: ICP Language: English
Author: Nira Dyn, Elza Farkhi, Alona Mokhov
ISBN: 9781783263042
Publisher: World Scientific Publishing Company
Publication: October 30, 2014
Imprint: ICP
Language: English

This book is aimed at the approximation of set-valued functions with compact sets in an Euclidean space as values. The interest in set-valued functions is rather new. Such functions arise in various modern areas such as control theory, dynamical systems and optimization. The authors' motivation also comes from the newer field of geometric modeling, in particular from the problem of reconstruction of 3D objects from 2D cross-sections. This is reflected in the focus of this book, which is the approximation of set-valued functions with general (not necessarily convex) sets as values, while previous results on this topic are mainly confined to the convex case. The approach taken in this book is to adapt classical approximation operators and to provide error estimates in terms of the regularity properties of the approximated set-valued functions. Specialized results are given for functions with 1D sets as values.

Contents:

  • Scientific Background:

    • On Functions with Values in Metric Spaces
    • On Sets
    • On Set-Valued Functions (SVFs)
  • Approximation of SVFs with Images in ℝn:

    • Methods Based on Canonical Representations
    • Methods Based on Minkowski Convex Combinations
    • Methods Based on the Metric Average
    • Methods Based on Metric Linear Combinations
    • Methods Based on Metric Selections
  • Approximation of SVFs with Images in ℝ:

    • SVFs with Images in ℝ
    • Multi-Segmental and Topological Representations
    • Methods Based on Topological Representation

Readership: Researchers and graduate students in the fields of approximation theory, set-valued analysis, dynamical systems, control and game theory, optimization and geometric modeling.
Key Features:

  • This is the only book on the subject of approximation of set-valued functions
  • It presents the pioneering work on the approximation of set-valued functions with general (not necessarily convex) sets as values
  • The first author is an internationally known expert in the field of Approximation Theory, the second author is an expert in numerical set-valued and non-smooth analysis. The third author received her PhD recently under the supervision of the first two authors. Many of the results presented in the book are based on her thesis
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This book is aimed at the approximation of set-valued functions with compact sets in an Euclidean space as values. The interest in set-valued functions is rather new. Such functions arise in various modern areas such as control theory, dynamical systems and optimization. The authors' motivation also comes from the newer field of geometric modeling, in particular from the problem of reconstruction of 3D objects from 2D cross-sections. This is reflected in the focus of this book, which is the approximation of set-valued functions with general (not necessarily convex) sets as values, while previous results on this topic are mainly confined to the convex case. The approach taken in this book is to adapt classical approximation operators and to provide error estimates in terms of the regularity properties of the approximated set-valued functions. Specialized results are given for functions with 1D sets as values.

Contents:

Readership: Researchers and graduate students in the fields of approximation theory, set-valued analysis, dynamical systems, control and game theory, optimization and geometric modeling.
Key Features:

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