Functions Approximation by Spectral Graph Wavelets
Journal Title: Al-Bahir Journal for Engineering and Pure Sciences - Year 2022, Vol 1, Issue 2
Abstract
Approximating function by using Spectral Graph Wavelets is an interesting direction in approximation theory. We essential to well choosing the space of functions that are approximated by Spectral Graph Wavelets. Lp spaces of functions are fantastic choices to study It is more interesting to take the value 0<p< 1. In this paper, new formulas of Spectral Graph Wavelets were constructed and proved to get good rates of approximation. Fundamental properties of Lp Graph Wavelets transform s (Lp GWT) are studied, such as, inversion, scaling Limit and approximation Wavelets. Finally, existence of best approximation can be concluded here for Graph functions in terms of SGWT.
Authors and Affiliations
Hawraa Abbas Almurieb, Ali Saeed ALmshlab
Evaluation of Geo-SPEBH algorithm based on Bandwidth for Big Data retrieval in Cloud Computing
The fast increase in volume and speed of information created by mobile devices, along with the availability of webbased applications, has considerably contributed to the massive collection of data. Approximate Nearest N...
Classification of Arabic Social Media Texts Based on a Deep Learning Multi-Tasks Model
Retraction of “Fabrication and Characterization of Wood Fiber Reinforced Polymer Composites”
Retraction of “Fabrication and Characterization of Wood Fiber Reinforced Polymer Composites”
Using Powder Metallurgy Process to Produce Ceramic-Metal Composites
Pressing powders and engineering materials is an innovative method for producing samples with a low cost and multiple industrial applications. In the current article, copper metal was added in different volume ratios to...
Study of Fusion Reactions of some Light projectiles on Medium Targets