Crank-Nicolson Fully Discrete H1-Galerkin Mixed Finite Element Approximation of One Nonlinear Integrodifferential Model
We consider a fully discrete H1-Galerkin mixed finite element approximation of one nonlinear integrodifferential model which often arises in mathematical modeling of the process of a magnetic field penetrating into a substance. We adopt the Crank-Nicolson discretization for time derivative. Optimal...
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2014-01-01
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Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/534902 |
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author | Fengxin Chen |
author_facet | Fengxin Chen |
author_sort | Fengxin Chen |
collection | DOAJ |
description | We consider a fully discrete H1-Galerkin mixed finite element approximation of one nonlinear integrodifferential model which often arises in mathematical modeling of the process of a magnetic field penetrating into a substance. We adopt the Crank-Nicolson discretization for time derivative. Optimal order a priori error estimates for the unknown function in L2 and H1 norm and its gradient function in L2 norm are presented. A numerical example is given to verify the theoretical results. |
format | Article |
id | doaj-art-f111344efdd1424dab4d45a63ae89dca |
institution | Kabale University |
issn | 1085-3375 1687-0409 |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | Abstract and Applied Analysis |
spelling | doaj-art-f111344efdd1424dab4d45a63ae89dca2025-02-03T01:33:26ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/534902534902Crank-Nicolson Fully Discrete H1-Galerkin Mixed Finite Element Approximation of One Nonlinear Integrodifferential ModelFengxin Chen0School of Science, Shandong Jiaotong University, Jinan 250357, ChinaWe consider a fully discrete H1-Galerkin mixed finite element approximation of one nonlinear integrodifferential model which often arises in mathematical modeling of the process of a magnetic field penetrating into a substance. We adopt the Crank-Nicolson discretization for time derivative. Optimal order a priori error estimates for the unknown function in L2 and H1 norm and its gradient function in L2 norm are presented. A numerical example is given to verify the theoretical results.http://dx.doi.org/10.1155/2014/534902 |
spellingShingle | Fengxin Chen Crank-Nicolson Fully Discrete H1-Galerkin Mixed Finite Element Approximation of One Nonlinear Integrodifferential Model Abstract and Applied Analysis |
title | Crank-Nicolson Fully Discrete H1-Galerkin Mixed Finite Element Approximation of One Nonlinear Integrodifferential Model |
title_full | Crank-Nicolson Fully Discrete H1-Galerkin Mixed Finite Element Approximation of One Nonlinear Integrodifferential Model |
title_fullStr | Crank-Nicolson Fully Discrete H1-Galerkin Mixed Finite Element Approximation of One Nonlinear Integrodifferential Model |
title_full_unstemmed | Crank-Nicolson Fully Discrete H1-Galerkin Mixed Finite Element Approximation of One Nonlinear Integrodifferential Model |
title_short | Crank-Nicolson Fully Discrete H1-Galerkin Mixed Finite Element Approximation of One Nonlinear Integrodifferential Model |
title_sort | crank nicolson fully discrete h1 galerkin mixed finite element approximation of one nonlinear integrodifferential model |
url | http://dx.doi.org/10.1155/2014/534902 |
work_keys_str_mv | AT fengxinchen cranknicolsonfullydiscreteh1galerkinmixedfiniteelementapproximationofonenonlinearintegrodifferentialmodel |