2020
DOI: 10.1007/s40840-020-00930-x
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Projected Iterations of Fixed-Point Type to Solve Nonlinear Partial Volterra Integro-Differential Equations

Abstract: In this paper, we propose a method to approximate the fixed point of an operator in a Banach space.Using biorthogonal systems, this method is applied to build an approximation of the solution of a class of nonlinear partial integro-differential equations. The theoretical findings are illustrated with several numerical examples, confirming the reliability, validity and precision of the proposed method.

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Cited by 5 publications
(8 citation statements)
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“…The absolute error function is depicted in three-dimensional space as shown in Figure 3. where u(x, 𝑦) = 𝑦sin(x) as the analytic solution, and g(x, 𝑦) is calculated using the exact solution and obtained similarly as [10] g(x, 𝑦) = 𝑦cos(x) − x 2 𝑦 2 sin 2 ( x…”
Section: 𝛼(P)mentioning
confidence: 99%
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“…The absolute error function is depicted in three-dimensional space as shown in Figure 3. where u(x, 𝑦) = 𝑦sin(x) as the analytic solution, and g(x, 𝑦) is calculated using the exact solution and obtained similarly as [10] g(x, 𝑦) = 𝑦cos(x) − x 2 𝑦 2 sin 2 ( x…”
Section: 𝛼(P)mentioning
confidence: 99%
“…Example In this last example, consider the two‐dimensional PVIDE discussed in Berenguer and Gamez [10] uxfalse(x,yfalse)=gfalse(x,yfalse)+0x0yx2ufalse(t,sfalse)dsdt,0.30em0x1,0.1em0.1em0y1,$$ \frac{\partial u}{\partial x}\left(x,y\right)=g\left(x,y\right)+{\int}_0^x{\int}_0^y{x}^2u\left(t,s\right) dsdt,\kern0.30em 0\le x\le 1,0\le y\le 1, $$ subject to initial condition u0false(yfalse)=0,0y1,$$ {u}_0(y)=0,0\le y\le 1, $$ where ufalse(x,yfalse)=ysinfalse(xfalse)$$ u\left(x,y\right)= ysin(x) $$ as the analytic solution, and gfalse(x,yfalse)$$ g\left(x,y\right) $$ is calculated using the exact solution and obtained similarly as [10] gfalse(x,yfalse)=ycosfalse(xfalse)x2y2sin2()x2.$$ g\left(x,y\right)= ycos(x)-{x}^2{y}^2 si{n}^2\left(\frac{x}{2}\right). $$ The numerical results obtained in this example for N=M=10$$ N=M=10 $$ are compared in Table 4 with the numerical results obtained by using th...…”
Section: Numerical Examplesmentioning
confidence: 99%
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