Biorthogonal-Wavelet-Based Method for Numerical Solution of Volterra Integral Equations

Framelets theory has been well studied in many applications in image processing, data recovery and computational analysis due to the key properties of framelets such as sparse representation and accuracy in coefficients recovery in the area of numerical and computational theory. This work is devoted...

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Main Author: Mutaz Mohammad
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/21/11/1098
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author Mutaz Mohammad
author_facet Mutaz Mohammad
author_sort Mutaz Mohammad
collection DOAJ
description Framelets theory has been well studied in many applications in image processing, data recovery and computational analysis due to the key properties of framelets such as sparse representation and accuracy in coefficients recovery in the area of numerical and computational theory. This work is devoted to shedding some light on the benefits of using such framelets in the area of numerical computations of integral equations. We introduce a new numerical method for solving Volterra integral equations. It is based on pseudo-spline quasi-affine tight framelet systems generated via the oblique extension principles. The resulting system is converted into matrix equations via these generators. We present examples of the generated pseudo-splines quasi-affine tight framelet systems. Some numerical results to validate the proposed method are presented to illustrate the efficiency and accuracy of the method.
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spelling doaj.art-d7ab995c575f4ab4a15dcaa8e03ed1c82022-12-22T04:24:38ZengMDPI AGEntropy1099-43002019-11-012111109810.3390/e21111098e21111098Biorthogonal-Wavelet-Based Method for Numerical Solution of Volterra Integral EquationsMutaz Mohammad0Department of Mathematics and Statistics, College of Natural and Health Sciences, Zayed University, 144543 Abu Dhabi, UAEFramelets theory has been well studied in many applications in image processing, data recovery and computational analysis due to the key properties of framelets such as sparse representation and accuracy in coefficients recovery in the area of numerical and computational theory. This work is devoted to shedding some light on the benefits of using such framelets in the area of numerical computations of integral equations. We introduce a new numerical method for solving Volterra integral equations. It is based on pseudo-spline quasi-affine tight framelet systems generated via the oblique extension principles. The resulting system is converted into matrix equations via these generators. We present examples of the generated pseudo-splines quasi-affine tight framelet systems. Some numerical results to validate the proposed method are presented to illustrate the efficiency and accuracy of the method.https://www.mdpi.com/1099-4300/21/11/1098volterra integral equationsmultiresolution analysisoblique extension principlepseudo-splinesbiorthogonal waveletsquasi-affine systems
spellingShingle Mutaz Mohammad
Biorthogonal-Wavelet-Based Method for Numerical Solution of Volterra Integral Equations
Entropy
volterra integral equations
multiresolution analysis
oblique extension principle
pseudo-splines
biorthogonal wavelets
quasi-affine systems
title Biorthogonal-Wavelet-Based Method for Numerical Solution of Volterra Integral Equations
title_full Biorthogonal-Wavelet-Based Method for Numerical Solution of Volterra Integral Equations
title_fullStr Biorthogonal-Wavelet-Based Method for Numerical Solution of Volterra Integral Equations
title_full_unstemmed Biorthogonal-Wavelet-Based Method for Numerical Solution of Volterra Integral Equations
title_short Biorthogonal-Wavelet-Based Method for Numerical Solution of Volterra Integral Equations
title_sort biorthogonal wavelet based method for numerical solution of volterra integral equations
topic volterra integral equations
multiresolution analysis
oblique extension principle
pseudo-splines
biorthogonal wavelets
quasi-affine systems
url https://www.mdpi.com/1099-4300/21/11/1098
work_keys_str_mv AT mutazmohammad biorthogonalwaveletbasedmethodfornumericalsolutionofvolterraintegralequations