2018
DOI: 10.1002/num.22316
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A numerical approach for solving weakly singular partial integro‐differential equations via two‐dimensional‐orthonormal Bernstein polynomials with the convergence analysis

Abstract: KEYWORDS error analysis, operational matrix method, singular integral equation, two-dimensional orthonormal Bernstein polynomials Numer Methods Partial Differential Eq. 2019;35:615-637. wileyonlinelibrary.com/journal/num

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Cited by 39 publications
(25 citation statements)
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“…Definition The representation of the 1D‐OBPs of degree n on the interval [0,1] in terms of original nonorthonormal Bernstein basis functions is as follows: ϕi,nfalse(sfalse)=2false(nifalse)+1truek=0ifalse(1false)k()2n+1kik()ik()nkikBik,nkfalse(sfalse),2emi=0,1,,n,2em2em where Bi,nfalse(sfalse)=truek=0nifalse(1false)k()ni()niksi+k,2emi=0,1,,n. Let Φ( s ) be a set of 1D‐OBPs of degree n as follows: normalΦfalse(sfalse)=false[ϕ0,nfalse(sfalse),ϕ1,nfalse(sfalse),,ϕn,nfalse(sfalse)false]T, where ϕ r , n ( s ) for r = 0,1,…, n , defined in Equation . The vector Φ( s ) is displayed based on standard basis in the following matrix form: normalΦfalse(sfalse)=ATnfalse(sfalse),2emxfalse[0,1false], where …”
Section: Preliminaries and Notationsmentioning
confidence: 99%
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“…Definition The representation of the 1D‐OBPs of degree n on the interval [0,1] in terms of original nonorthonormal Bernstein basis functions is as follows: ϕi,nfalse(sfalse)=2false(nifalse)+1truek=0ifalse(1false)k()2n+1kik()ik()nkikBik,nkfalse(sfalse),2emi=0,1,,n,2em2em where Bi,nfalse(sfalse)=truek=0nifalse(1false)k()ni()niksi+k,2emi=0,1,,n. Let Φ( s ) be a set of 1D‐OBPs of degree n as follows: normalΦfalse(sfalse)=false[ϕ0,nfalse(sfalse),ϕ1,nfalse(sfalse),,ϕn,nfalse(sfalse)false]T, where ϕ r , n ( s ) for r = 0,1,…, n , defined in Equation . The vector Φ( s ) is displayed based on standard basis in the following matrix form: normalΦfalse(sfalse)=ATnfalse(sfalse),2emxfalse[0,1false], where …”
Section: Preliminaries and Notationsmentioning
confidence: 99%
“…Finally, we obtain the 2D‐FOBPs operational matrices of integration, product, and fractional partial integration and derivative. Also, I and O be the identity and zero matrices of order ( n + 1), respectively, and ⊗ denote the Kronecker product …”
Section: Operational Matricesmentioning
confidence: 99%
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“…Also, there are few numerical methods for solving partial integro‐differential equations. For instance, an efficient matrix method based on two‐dimensional orthonormal Bernstein polynomials have been presented to solve linear and nonlinear weakly singular partial integro‐differential equations in Mirzaee et al Numerical solution of a Volterra integro‐differential equation of parabolic type with memory term subject to initial boundary value conditions has been presented in Fahim et al Spline collocation methods have been proposed for the spatial discretization of a class of hyperbolic partial integro‐differential equations in Fairweather …”
Section: Introductionmentioning
confidence: 99%
“…9 Collocation method based on the Bernstein polynomials has been introduced for the approximate solution of a class of linear Volterra integro-differential equations with weakly singular kernel in Işik et al 10 Also, there are few numerical methods for solving partial integro-differential equations. For instance, an efficient matrix method based on two-dimensional orthonormal Bernstein polynomials have been presented to solve linear and nonlinear weakly singular partial integro-differential equations in Mirzaee et al 11 Numerical solution of a Volterra integro-differential equation of parabolic type with memory term subject to initial boundary value conditions has been presented in Fahim et al 12 Spline collocation methods have been proposed for the spatial discretization of a class of hyperbolic partial integro-differential equations in Fairweather. 13 In recent years, it has become obvious that real-life problems, such as fluid mechanics, biology, physics, and physiology, [14][15][16] can be more satisfactorily modeled by different types of fractional equations.…”
Section: Introductionmentioning
confidence: 99%