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For approximating of singular or weakly singular integral equations, there are several numerical method's existences.
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In the present paper, however, I concentrate on the use of the TCD for approximate, order-of-magnitude predictions, because these can be very useful during failure analysis.
We present two classes of DG methods for approximating solutions of such PDEs.
We present and analyze the performance of a nonlinear, upwind flux split method for approximating solutions of hyperbolic conservation laws.
It is attempted to put forward a new multipoint iterative method for approximating solutions of nonlinear systems.
In [19, 20], the authors proposed several different iterative algorithms for approximating zeros of m-accretive operators in Banach spaces.
There are several numerical methods for approximating solution of Fredholm and Volterra integral equations in one- and two-dimensions.
Unfortunately, for approximating zeros of monotone-type maps from E to (E^), the normal fixed point technique is not applicable.
We present the first fifth-order, semi-discrete central-upwind method for approximating solutions of multi-dimensional Hamilton Jacobi equations.
We introduce a new dispersion-velocity particle method for approximating solutions of linear and nonlinear dispersive equations.
We present two novel methods for approximating minimizers of the abstract Rayleigh quotient Φ u)/∥u∥p.
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