Convexity and solvability for compactly supported radial basis functions with different shapes

It is known that interpolation with radial basis functions of the same shape can guarantee a nonsingular interpolation matrix, whereas little was known when one uses various shapes. In this paper, we prove that functions from a class of compactly supported radial basis functions are convex on a cert...

Full description

Bibliographic Details
Main Authors: Zhu, S, Wathen, A
Format: Journal article
Published: Springer 2014
_version_ 1797059513929433088
author Zhu, S
Wathen, A
author_facet Zhu, S
Wathen, A
author_sort Zhu, S
collection OXFORD
description It is known that interpolation with radial basis functions of the same shape can guarantee a nonsingular interpolation matrix, whereas little was known when one uses various shapes. In this paper, we prove that functions from a class of compactly supported radial basis functions are convex on a certain region; based on this local convexity and other local geometrical properties of the interpolation points, we construct a sufficient condition which guarantees diagonally dominant interpolation matrices for radial basis functions interpolation with different shapes. The proof is constructive and can be used to design algorithms directly. Numerical examples show that the scheme has a low accuracy but can be implemented efficiently. It can be used for inaccurate models where efficiency is more desirable. Large scale 3D implicit surface reconstruction problems are used to demonstrate the utility and reasonable results can be obtained efficiently.
first_indexed 2024-03-06T20:05:21Z
format Journal article
id oxford-uuid:28bb97d4-12b6-43bc-baf0-a1df929fb735
institution University of Oxford
last_indexed 2024-03-06T20:05:21Z
publishDate 2014
publisher Springer
record_format dspace
spelling oxford-uuid:28bb97d4-12b6-43bc-baf0-a1df929fb7352022-03-26T12:14:40ZConvexity and solvability for compactly supported radial basis functions with different shapesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:28bb97d4-12b6-43bc-baf0-a1df929fb735Symplectic Elements at OxfordSpringer2014Zhu, SWathen, AIt is known that interpolation with radial basis functions of the same shape can guarantee a nonsingular interpolation matrix, whereas little was known when one uses various shapes. In this paper, we prove that functions from a class of compactly supported radial basis functions are convex on a certain region; based on this local convexity and other local geometrical properties of the interpolation points, we construct a sufficient condition which guarantees diagonally dominant interpolation matrices for radial basis functions interpolation with different shapes. The proof is constructive and can be used to design algorithms directly. Numerical examples show that the scheme has a low accuracy but can be implemented efficiently. It can be used for inaccurate models where efficiency is more desirable. Large scale 3D implicit surface reconstruction problems are used to demonstrate the utility and reasonable results can be obtained efficiently.
spellingShingle Zhu, S
Wathen, A
Convexity and solvability for compactly supported radial basis functions with different shapes
title Convexity and solvability for compactly supported radial basis functions with different shapes
title_full Convexity and solvability for compactly supported radial basis functions with different shapes
title_fullStr Convexity and solvability for compactly supported radial basis functions with different shapes
title_full_unstemmed Convexity and solvability for compactly supported radial basis functions with different shapes
title_short Convexity and solvability for compactly supported radial basis functions with different shapes
title_sort convexity and solvability for compactly supported radial basis functions with different shapes
work_keys_str_mv AT zhus convexityandsolvabilityforcompactlysupportedradialbasisfunctionswithdifferentshapes
AT wathena convexityandsolvabilityforcompactlysupportedradialbasisfunctionswithdifferentshapes