Verlagslink DOI: 10.1063/5.0026543
Titel: Function Approximation Using Haar Wavelets
Sprache: 
Autorenschaft: Majak, Jüri 
Eerme, Martin 
Haavajõe, Anti 
Ramachandran, Karunanidhi 
Scholz, Dieter  
Lepik, Anti 
Herausgeber*In: Simos, Theodōros 
Tsitouras, Charalambos 
Erscheinungsdatum: 25-Nov-2020
Teil der Schriftenreihe: International Conference on Numerical Analysis and Applied Mathematics ICNAAM 2019 
Zeitschrift oder Schriftenreihe: AIP conference proceedings 
Zeitschriftenband: 2293
Zeitschriftenausgabe: 1
Konferenz: International Conference of Numerical Analysis and Applied Mathematics 2019 
Zusammenfassung: 
The generalized approach for function approximation using Haar wavelets is proposed. An approach proposed is based on higher order wavelet expansion and algorithms for determining integration constants. The theoretical study is validated by numerical analysis. The decrease of the absolute error and increase of the numerical rate of convergence with respect to mesh has been observed in comparison with approach available in literature.
URI: http://hdl.handle.net/20.500.12738/10638
ISSN: 1551-7616
Einrichtung: Forschungsgruppe Flugzeugentwurf und -systeme (AERO) 
Department Fahrzeugtechnik und Flugzeugbau 
Fakultät Technik und Informatik 
Dokumenttyp: Chapter/Article (Proceedings)
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