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Numerical solutions of generalized <scp>Rosenau–KDV–RLW</scp> equation by using Haar wavelet collocation approach coupled with nonstandard finite difference scheme and quasilinearization

Amit K. Verma, Mukesh Kumar Rawani

2022Numerical Methods for Partial Differential Equations15 citationsDOI

Abstract

Abstract In this article, we analyze and propose to compute the numerical solutions of a generalized Rosenau–KDV–RLW (Rosenau‐Korteweg De Vries‐Regularized Long Wave) equation based on the Haar wavelet (HW) collocation approach coupled with nonstandard finite difference (NSFD) scheme and quasilinearization. In the process of the numerical solution, the NSFD scheme is applied to discretize the first‐order time derivative, Haar wavelets are applied on spatial derivatives and the non‐linear term is taken care by quasilinearization technique. To discuss the efficiency of the method we compute error and error. We also use discrete mass and energy conservation to check the accuracy of the proposed methodology. The computed results have been compared with the existing methods, for example, three‐level average implicit finite difference technique, B‐spline collocation, three‐level linear conservative implicit finite difference scheme and conservative fourth‐order stable finite difference scheme.

Topics & Concepts

MathematicsKorteweg–de Vries equationDiscretizationFinite differenceCollocation methodWaveletCollocation (remote sensing)Finite difference methodApplied mathematicsMathematical analysisNonlinear systemDifferential equationOrdinary differential equationComputer scienceMachine learningPhysicsQuantum mechanicsArtificial intelligenceNonlinear Waves and SolitonsFractional Differential Equations SolutionsNonlinear Photonic Systems