Efficient Speed-up of Radial Basis Functions Approximation and Interpolation Formula Evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43959386" target="_blank" >RIV/49777513:23520/20:43959386 - isvavai.cz</a>
Result on the web
<a href="http://afrodita.zcu.cz/~skala/publications.htm" target="_blank" >http://afrodita.zcu.cz/~skala/publications.htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-58799-4_12" target="_blank" >10.1007/978-3-030-58799-4_12</a>
Alternative languages
Result language
angličtina
Original language name
Efficient Speed-up of Radial Basis Functions Approximation and Interpolation Formula Evaluation
Original language description
This paper presents a method for efficient Radial basis function (RBF) evaluation if compactly supported radial basis functions (CSRBF) are used. Application of CSRBF leads to sparse matrices, due to limited influence of radial basis functions in the data domain and thus non-zero weights (coefficients) are valid only for some areas in the data domain. The presented algorithm uses space subdivision which enables us to use only relevant weights for efficient RBF function evaluation. This approach is applicable for 2D and 3D case and leads to a significant speed-up. This approach is applicable in cases when the RBF function is evaluated repeatably.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-05534S" target="_blank" >GA17-05534S: Meshless methods for large scattered spatio-temporal vector data visualization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Science and Its Applications – ICCSA 2020
ISBN
978-3-030-58798-7
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
165-176
Publisher name
Springer Verlag
Place of publication
Cham
Event location
Cagliari, Italy
Event date
Jul 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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