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

Elza Farkhi, Alona Mokhov, Nira Dyn

ISBN 10: 1783263024 / ISBN 13: 9781783263028

Published by Imperial College Press, GB, 2014

About this Item

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.

Seller Inventory # LU-9781783263028

Bibliographic Details

• Title: Approximation Of Set-valued Functions: Adaptation Of Classical Approximation Operators
• Publisher: Imperial College Press, GB
• Publication Date: 2014
• Language: English
• ISBN 10: 1783263024
• ISBN 13: 9781783263028
• Binding: Hardback
• Condition: New

About this title

Synopsis

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.