Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: theoretical foundations

We introduce Lipschitz continuous and C¹,¹ geometric approximation and interpolation methods for sampled bounded uniformly continuous functions over compact sets and over complements of bounded open sets in Rn by using compensated convex transforms. Error estimates are provided for the approximation...

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Main Authors: Zhang, Kewei, Crooks, Elaine, Orlando, Antonio
Format: Article
Language:English
Published: Society for Industrial and Applied Mathematics 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/40889/
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author Zhang, Kewei
Crooks, Elaine
Orlando, Antonio
author_facet Zhang, Kewei
Crooks, Elaine
Orlando, Antonio
author_sort Zhang, Kewei
building Nottingham Research Data Repository
collection Online Access
description We introduce Lipschitz continuous and C¹,¹ geometric approximation and interpolation methods for sampled bounded uniformly continuous functions over compact sets and over complements of bounded open sets in Rn by using compensated convex transforms. Error estimates are provided for the approximations of bounded uniformly continuous functions, of Lipschitz functions, and of C1,1 functions. We also prove that our approximation methods, which are differentiation and integration free and not sensitive to sample type, are stable with respect to the Hausdorff distance between samples.
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spelling nottingham-408892017-10-12T19:34:51Z https://eprints.nottingham.ac.uk/40889/ Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: theoretical foundations Zhang, Kewei Crooks, Elaine Orlando, Antonio We introduce Lipschitz continuous and C¹,¹ geometric approximation and interpolation methods for sampled bounded uniformly continuous functions over compact sets and over complements of bounded open sets in Rn by using compensated convex transforms. Error estimates are provided for the approximations of bounded uniformly continuous functions, of Lipschitz functions, and of C1,1 functions. We also prove that our approximation methods, which are differentiation and integration free and not sensitive to sample type, are stable with respect to the Hausdorff distance between samples. Society for Industrial and Applied Mathematics 2016-12-08 Article PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/40889/1/ZOC-M104567.pdf Zhang, Kewei, Crooks, Elaine and Orlando, Antonio (2016) Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: theoretical foundations. SIAM Journal on Mathematical Analysis, 48 (6). pp. 4126-4154. ISSN 1095-7154 interpolation approximation compensated convex transforms Lipschitz functions local-Lipschitz approximation Hausdorff stability error estimates http://epubs.siam.org/doi/10.1137/15M1045673 doi:10.1137/15M1045673 doi:10.1137/15M1045673
spellingShingle interpolation
approximation
compensated convex transforms
Lipschitz functions
local-Lipschitz approximation
Hausdorff stability
error estimates
Zhang, Kewei
Crooks, Elaine
Orlando, Antonio
Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: theoretical foundations
title Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: theoretical foundations
title_full Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: theoretical foundations
title_fullStr Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: theoretical foundations
title_full_unstemmed Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: theoretical foundations
title_short Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: theoretical foundations
title_sort compensated convexity methods for approximations and interpolations of sampled functions in euclidean spaces: theoretical foundations
topic interpolation
approximation
compensated convex transforms
Lipschitz functions
local-Lipschitz approximation
Hausdorff stability
error estimates
url https://eprints.nottingham.ac.uk/40889/
https://eprints.nottingham.ac.uk/40889/
https://eprints.nottingham.ac.uk/40889/