Table 4 - uploaded by Domingo Gamez
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Number of nodes j from error ε and for m 3.

Number of nodes j from error ε and for m 3.

Source publication
Article
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This work presents an analysis of the error that is committed upon having obtained the approximate solution of the nonlinear Fredholm-Volterra-Hammerstein integral equation by means of a method for its numerical resolution. The main tools used in the study of the error are the properties of Schauder bases in a Banach space.

Context in source publication

Context 1
... we realize that the choice of a particular j, determining the dyadic partition of the interval 0, 1 from the first 2 j 1 nodes, and in such a way that the error is less than a fixed positive ε, that is, x − x m < ε, can be easily determined practically: it suffices to compute, once again by means of Mathematica 7, the error. To this end, since it is measured in terms of the supnorm, we consider the nodes 0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1 and maximum of the absolute values of the differences between the values of the exact solution and the approximation obtained for the third iteration m 3. The numerical tests are given in Table 4 and correspond to the nonlinear mixed Fredhol-Volterra-Hammerstein equations considered in Examples 4.1 and 4.2, respectively. ...

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Citations

... Typical examples of iterative approximate methods are the Picard iteration method [51,101], Runge-Kutta method and block by block method [76], optimal perturbation iteration method [77], Dzyadyk's iterative approximation method [94] and Mann iteration procedure [102]. Fixed point methods based on Schauder bases [21,29,33,98], Schauder basis in an adequate Banach space [58], rationalized Haar wavelet [68], and fixed point methods in extended b-metric space [71] have been used successfully. Approximate methods using block-pulse functions [52,61,67], Bernstein polynomials [59], Haar wavelets [4], hyperbolic basis functions [84] and Hosoya polynomials [85] have also been presented. ...
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