Making conditionally negative definite radial basis function interpolation well-conditioned by adding cardinal basis functions

A class of basis functions so called well-conditioned RBF (WRBFs) has been introduced. This basis has been manipulated by adding cardinal functions to the conditionally negative definite RBFs of order 1, such as Multiquadric functions 1+(∊r)2 (MQ) and log(1+(∊r)2) (LOG). The condition number of the...

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Published inAin Shams Engineering Journal Vol. 9; no. 4; pp. 2587 - 2598
Main Authors Kazem, Saeed, Chadwick, Edmund A., Hatam, Ali
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.12.2018
Elsevier
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Online AccessGet full text
ISSN2090-4479
DOI10.1016/j.asej.2017.03.013

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Abstract A class of basis functions so called well-conditioned RBF (WRBFs) has been introduced. This basis has been manipulated by adding cardinal functions to the conditionally negative definite RBFs of order 1, such as Multiquadric functions 1+(∊r)2 (MQ) and log(1+(∊r)2) (LOG). The condition number of the interpolation matrix arising from this basis is of O(N), where N is the number of center nodes. This order is independent of shape parameter and therefore applying this basis functions would recover the ill–posed linear system associated with the order 1 conditionally negative definite RBFs interpolation.
AbstractList A class of basis functions so called well-conditioned RBF (WRBFs) has been introduced. This basis has been manipulated by adding cardinal functions to the conditionally negative definite RBFs of order 1, such as Multiquadric functions 1+(∊r)2 (MQ) and log(1+(∊r)2) (LOG). The condition number of the interpolation matrix arising from this basis is of O(N), where N is the number of center nodes. This order is independent of shape parameter and therefore applying this basis functions would recover the ill–posed linear system associated with the order 1 conditionally negative definite RBFs interpolation. Keywords: Radial basis functions, Cardinal functions, Multiquadrics (MQ), AMS subject classifications: 65M20, 65M06
A class of basis functions so called well-conditioned RBF (WRBFs) has been introduced. This basis has been manipulated by adding cardinal functions to the conditionally negative definite RBFs of order 1, such as Multiquadric functions 1+(∊r)2 (MQ) and log(1+(∊r)2) (LOG). The condition number of the interpolation matrix arising from this basis is of O(N), where N is the number of center nodes. This order is independent of shape parameter and therefore applying this basis functions would recover the ill–posed linear system associated with the order 1 conditionally negative definite RBFs interpolation.
Author Hatam, Ali
Kazem, Saeed
Chadwick, Edmund A.
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CitedBy_id crossref_primary_10_1016_j_enganabound_2019_11_011
crossref_primary_10_1016_j_cam_2021_113580
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Snippet A class of basis functions so called well-conditioned RBF (WRBFs) has been introduced. This basis has been manipulated by adding cardinal functions to the...
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SubjectTerms Cardinal functions
Multiquadrics (MQ)
Radial basis functions
Title Making conditionally negative definite radial basis function interpolation well-conditioned by adding cardinal basis functions
URI https://dx.doi.org/10.1016/j.asej.2017.03.013
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