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Approximation Of Set-valued Functions: Adaptation Of Classical Approximation Operators
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Approximation Of Set-valued Functions: Adaptation Of Classical Approximation Operators

Book Details

Format Hardback or Cased Book
ISBN-10 1783263024
ISBN-13 9781783263028
Publisher Imperial College Press
Imprint Imperial College Press
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 18th, 2014
Print length 168 Pages
Weight 464 grams
Dimensions 23.70 x 16.30 x 1.30 cms
Product Classification: Algebraic topologyApplied mathematics
Ksh 12,800.00
Werezi Extended Catalogue 0 in stock

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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.

 

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.


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