Approximation of Set-valued Functions

Approximation of Set-valued Functions

Author: Nira Dyn

Publisher:

Published: 2014

Total Pages: 153

ISBN-13: 9781783263028

DOWNLOAD EBOOK

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.


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

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

Author: Nira Dyn

Publisher: World Scientific

Published: 2014-10-30

Total Pages: 168

ISBN-13: 1783263040

DOWNLOAD EBOOK

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.


Approximation of Convex Set-Valued Functions

Approximation of Convex Set-Valued Functions

Author: Richard A. Vitale

Publisher:

Published: 1978

Total Pages: 23

ISBN-13:

DOWNLOAD EBOOK

Approximation of set-valued functions is introduced and discussed under a convexity assumption. In particular, a theorem of Korovkin type is derived for a class of approximation methods. (Author).


Approximation of Vector Valued Functions

Approximation of Vector Valued Functions

Author:

Publisher: Elsevier

Published: 2011-10-10

Total Pages: 235

ISBN-13: 0080871364

DOWNLOAD EBOOK

This work deals with the many variations of the Stoneileierstrass Theorem for vector-valued functions and some of its applications. The book is largely self-contained. The amount of Functional Analysis required is minimal, except for Chapter 8. The book can be used by graduate students who have taken the usual first-year real and complex analysis courses.


Ordered Cones and Approximation

Ordered Cones and Approximation

Author: Klaus Keimel

Publisher: Springer

Published: 2006-11-15

Total Pages: 140

ISBN-13: 3540470794

DOWNLOAD EBOOK

This book presents a unified approach to Korovkin-type approximation theorems. It includes classical material on the approximation of real-valuedfunctions as well as recent and new results on set-valued functions and stochastic processes, and on weighted approximation. The results are notonly of qualitative nature, but include quantitative bounds on the order of approximation. The book is addressed to researchers in functional analysis and approximation theory as well as to those that want to applythese methods in other fields. It is largely self- contained, but the readershould have a solid background in abstract functional analysis. The unified approach is based on a new notion of locally convex ordered cones that are not embeddable in vector spaces but allow Hahn-Banach type separation and extension theorems. This concept seems to be of independent interest.