RBF Interpolation with CSRBF of Large Data Sets

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932147" target="_blank" >RIV/49777513:23520/17:43932147 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.procs.2017.05.081" target="_blank" >http://dx.doi.org/10.1016/j.procs.2017.05.081</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2017.05.081" target="_blank" >10.1016/j.procs.2017.05.081</a>

Result language
angličtina
Original language name
RBF Interpolation with CSRBF of Large Data Sets
Original language description
This contribution presents a new analysis of properties of the interpolation using Radial Bases Functions (RBF) related to large data sets interpolation. The RBF application is convenient method for scattered d-dimensional interpolation. The RBF methods lead to a solution of linear system of equations and computational complexity of solution is nearly independent of a dimensionality. However, the RBF methods are usually applied for small data sets with a small span geometric coordinates. This contribution explores properties of the RBF interpolation for large data sets and large span of geometric coordinates of the given data sets with regard to expectable numerical stability of computation.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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