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NUMERICAL SOLUTIONS OF A CLASS OF SINGULAR NEUTRAL FUNCTIONAL DIFFERENTIAL EQUATIONS ON GRADED MESHES

机译:一类奇异中性功能微分方程对分级网格的数值解

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In this paper, we present case studies to illustrate the dependence of the rate of convergence of numerical schemes for singular neutral equations (SNFDEs) on the particular mesh employed in the computation. In [12], a semigroup theoretical framework was used to show convergence of semi- and fully- discrete methods for a class of SNFDEs with weakly singular kernels. On the other hand, numerical experiments in [12] demonstrated a "degradation" of the expected rate of convergence when uniform meshes were considered. In particular, it was numerically observed that the degradation of the rate of convergence was related to the strength of the singularity in the kernel of the SNFDE. Following the idea used for Volterra equations with weakly singular kernels, see, e.g., [1, 2], we investigate graded meshes associated with the kernel of the SNFDE in attempting to restore convergence rates.
机译:在本文中,我们存在案例研究以说明在计算中使用的特定网格上的数值方案(SNFDES)的数值方案的收敛速率的依赖性。 在[12]中,半群理论框架用于显示具有弱奇异内核的一类SNFDES的半径和完全离散方法的收敛性。 另一方面,当考虑均匀网格时,[12]中的数值实验证明了预期收敛速率的“降解”。 特别地,在数控上观察到,收敛速率的降解与SNFDE核中的奇异性的强度有关。 在具有弱奇异内核的Volterra方程的想法之后,请参阅,例如[1,2],我们调查与SNFDE内核相关的分级网格,试图恢复收敛速率。

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