Large scattered data interpolation with radial basis functions and space subdivision

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43951223" target="_blank" >RIV/49777513:23520/18:43951223 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3233/ICA-170556" target="_blank" >http://dx.doi.org/10.3233/ICA-170556</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/ICA-170556" target="_blank" >10.3233/ICA-170556</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Large scattered data interpolation with radial basis functions and space subdivision

Popis výsledku v původním jazyce

We propose a new approach for the radial basis function (RBF) interpolation of large scattered data sets. It uses the space subdivision technique into independent cells allowing processing of large data sets with low memory requirements and offering high computation speed, together with the possibility of parallel processing as each cell can be processed independently. The proposed RBF interpolation was tested on both synthetic and real data sets. It proved its simplicity, robustness and the ability to handle large data sets together with significant speed-up. In the case of parallel processing, speed-up was experimentally proved when 2 and 4 threads were used.

Název v anglickém jazyce

Large scattered data interpolation with radial basis functions and space subdivision

Popis výsledku anglicky

We propose a new approach for the radial basis function (RBF) interpolation of large scattered data sets. It uses the space subdivision technique into independent cells allowing processing of large data sets with low memory requirements and offering high computation speed, together with the possibility of parallel processing as each cell can be processed independently. The proposed RBF interpolation was tested on both synthetic and real data sets. It proved its simplicity, robustness and the ability to handle large data sets together with significant speed-up. In the case of parallel processing, speed-up was experimentally proved when 2 and 4 threads were used.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA17-05534S" target="_blank" >GA17-05534S: Meshless metody pro vizualizaci velkých časově-prostorových vektorových dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Integrated Computer-Aided Engineering

ISSN

1069-2509

e-ISSN

—

Svazek periodika

25

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

49-62

Kód UT WoS článku

000418070000004

EID výsledku v databázi Scopus

2-s2.0-85039431989