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Two-grid economical algorithms for parabolic integro-differential equations with nonlinear memory

机译:带有非线性记忆的抛物线积分微分方程的两重网格经济算法

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In this paper, several two-grid finite element algorithms for solving parabolic integro-differential equations (PIDEs) with nonlinear memory are presented. Analysis of these algorithms is given assuming a fully implicit time discretization. It is shown that these algorithms are as stable as the standard fully discrete finite element algorithm, and can achieve the same accuracy as the standard algorithm if the coarse grid size H and the fine grid size h satisfy H = O (h(r-1/r)). Especially for PIDEs with nonlinear memory defined by a lower order nonlinear operator, our two-grid algorithm can save significant storage and computing time. Numerical experiments are given to confirm the theoretical results. (C) 2019 IMACS. Published by Elsevier B.V. All rights reserved.
机译:本文提出了几种用非线性记忆求解抛物线积分微分方程(PIDE)的两网格有限元算法。假设完全隐式时间离散化,给出了对这些算法的分析。结果表明,这些算法与标准的完全离散有限元算法一样稳定,如果粗网格尺寸H和细网格尺寸h满足H = O(h(r-1),则可以达到与标准算法相同的精度。 / r))。特别是对于具有由低阶非线性算子定义的非线性存储器的PIDE,我们的两网格算法可以节省大量的存储和计算时间。数值实验证实了理论结果。 (C)2019年IMACS。由Elsevier B.V.发布。保留所有权利。

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