Publisher DOI: 10.1063/5.0026543
Title: Function Approximation Using Haar Wavelets
Language: English
Authors: Majak, Jüri 
Eerme, Martin 
Haavajõe, Anti 
Ramachandran, Karunanidhi 
Scholz, Dieter  
Lepik, Anti 
Editor: Simos, Theodōros 
Tsitouras, Charalambos 
Issue Date: 25-Nov-2020
Part of Series: International Conference on Numerical Analysis and Applied Mathematics ICNAAM 2019 
Journal or Series Name: AIP conference proceedings 
Volume: 2293
Issue: 1
Conference: International Conference of Numerical Analysis and Applied Mathematics 2019 
Abstract: 
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
Review status: This version was peer reviewed (peer review)
Institute: Forschungsgruppe Flugzeugentwurf und -systeme (AERO) 
Department Fahrzeugtechnik und Flugzeugbau 
Fakultät Technik und Informatik 
Type: Konferenzveröffentlichung
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