2021
DOI: 10.3390/math9111193
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Numerical Solution of the Fredholm and Volterra Integral Equations by Using Modified Bernstein–Kantorovich Operators

Abstract: The main aim of this paper is to numerically solve the first kind linear Fredholm and Volterra integral equations by using Modified Bernstein–Kantorovich operators. The unknown function in the first kind integral equation is approximated by using the Modified Bernstein–Kantorovich operators. Hence, by using discretization, the obtained linear equations are transformed into systems of algebraic linear equations. Due to the sensitivity of the solutions on the input data, significant difficulties may be encounter… Show more

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Cited by 11 publications
(4 citation statements)
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“…Tere has been a lot of interest in solving FI-DEs [26][27][28][29], specially using collocation methods. In [30], the authors used a wavelet collocation method to solve Fredholm FI-DEs.…”
Section: Introductionmentioning
confidence: 99%
“…Tere has been a lot of interest in solving FI-DEs [26][27][28][29], specially using collocation methods. In [30], the authors used a wavelet collocation method to solve Fredholm FI-DEs.…”
Section: Introductionmentioning
confidence: 99%
“…The iterated Tikhonov algorithm can be seen as a preconditioned Landweber iteration, where the preconditioner is chosen to approximate a regularized version of the pseudo-inverse of A. Other possible regularizing preconditioner are described in [4,5,6].…”
Section: Introductionmentioning
confidence: 99%
“…In [4], a theory is presented and numerical methods are used for solving non-to an increasing function was introduced, using linear Fredholm-Stiltjes integral equations of the first kind in [16] [17] [18]. Numerical solution of the Fredholm and Volterra Integral equations by using modified Bernstein-Kantorovich operators [19], second kind [20], and third kind of nonlinear Volterra-Stieltjes integral equations with the solution by Lavrentyev regularizing operator were also described [21].…”
Section: Introductionmentioning
confidence: 99%