New Spectral Second Kind Chebyshev Wavelets Algorithm for Solving Linear and Nonlinear Second-Order Differential Equations Involving Singular and Bratu Type Equations
Author(s) -
W. M. AbdElhameed,
E. H. Doha,
Y. H. Youssri
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/715756
Subject(s) - mathematics , nonlinear system , algebraic equation , mathematical analysis , chebyshev filter , boundary value problem , wavelet , spectral method , chebyshev iteration , chebyshev equation , convergence (economics) , orthogonal polynomials , computer science , physics , quantum mechanics , artificial intelligence , economics , economic growth , classical orthogonal polynomials
A new spectral algorithm based on shifted second kind Chebyshev wavelets operational matrices of derivatives is introduced and used for solving linear and nonlinear second-order two-point boundary value problems. The main idea for obtaining spectral numerical solutions for these equations is essentially developed by reducing the linear or nonlinear equations with their initial and/or boundary conditions to a system of linear or nonlinear algebraic equations in the unknown expansion coefficients. Convergence analysis and some efficient specific illustrative examples including singular and Bratu type equations are considered to demonstrate the validity and the applicability of the method. Numerical results obtained are compared favorably with the analytical known solutions.
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