4.7 Article

Gradient recovery based finite element methods for the two-dimensional quad-curl problem

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Mathematics, Applied

A C0 linear finite element method for a second-order elliptic equation in non-divergence form with Cordes coefficients

Minqiang Xu et al.

Summary: In this paper, a gradient recovery based linear finite element method (GRBL FEM) and a Hessian recovery based linear FEM are developed for solving second-order elliptic equations in non-divergence form. The proposed methods are competitive and can handle computational domains with curved boundaries without loss of accuracy.

NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS (2023)

Article Mathematics, Applied

A Hessian recovery-based finite difference method for biharmonic problems

Minqiang Xu et al.

Summary: In this paper, a new finite difference method for biharmonic equations is studied by combining Hessian recovery techniques and the ghost points method. Numerical results validate the optimal convergence orders of the proposed method in the L2 norm and H1 seminorm. Moreover, superconvergence properties of the recovered gradient and Hessian have been observed.

APPLIED MATHEMATICS LETTERS (2023)

Article Engineering, Multidisciplinary

An efficient technique based on least-squares method for fractional integro-differential equations

Yuntao Jia et al.

Summary: In this paper, an efficient technique for solving fractional integro-differential equations (FIDEs) is investigated, which has numerous applications in various fields of science. The proposed technique is based on the Legendre orthonormal polynomial and least squares method (LSM). By dividing the domain into cells, a polynomial approximate solution can be obtained in each cell by LSM. The solvability and stability of the proposed numerical scheme are proven, and the optimal convergence order under W22-norm is provided. Numerical examples verify the theoretical discovery and show the superiority of the proposed algorithm compared to traditional methods.

ALEXANDRIA ENGINEERING JOURNAL (2023)

Article Mathematics, Applied

A recovery-based linear C0 finite element method for a fourth-order singularly perturbed Monge-Ampere equation

Hongtao Chen et al.

Summary: This paper presents a new recovery-based linear C-0 finite element method for approximating the weak solution of a fourth-order singularly perturbed Monge-Ampere equation, establishing its uniqueness and deriving error estimates.

ADVANCES IN COMPUTATIONAL MATHEMATICS (2021)

Article Mathematics, Applied

SIMPLE CURL-CURL-CONFORMING FINITE ELEMENTS IN TWO DIMENSIONS

Kaibo Hu et al.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2020)

Article Computer Science, Interdisciplinary Applications

Hessian recovery based finite element methods for the Cahn-Hilliard equation

Minqiang Xu et al.

JOURNAL OF COMPUTATIONAL PHYSICS (2019)

Article Mathematics, Applied

H(CURL2)-CONFORMING FINITE ELEMENTS IN 2 DIMENSIONS AND APPLICATIONS TO THE QUAD-CURL PROBLEM

Qian Zhang et al.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2019)

Article Mathematics, Applied

A C-0 Linear Finite Element Method for Biharmonic Problems

Hailong Guo et al.

JOURNAL OF SCIENTIFIC COMPUTING (2018)

Article Mathematics, Applied

HESSIAN RECOVERY FOR FINITE ELEMENT METHODS

Hailong Guo et al.

MATHEMATICS OF COMPUTATION (2017)

Article Mathematics, Applied

Hodge Decomposition Methods for a Quad-Curl Problem on Planar Domains

Susanne C. Brenner et al.

JOURNAL OF SCIENTIFIC COMPUTING (2017)

Article Mathematics, Applied

A mixed FEM for the quad-curl eigenvalue problem

Jiguang Sun

NUMERISCHE MATHEMATIK (2016)

Article Mathematics, Applied

FINITE ELEMENT METHODS FOR MAXWELL'S TRANSMISSION EIGENVALUES

Peter Monk et al.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2012)

Article Mathematics, Applied

A NONCONFORMING FINITE ELEMENT METHOD FOR FOURTH ORDER CURL EQUATIONS IN R3

Bin Zheng et al.

MATHEMATICS OF COMPUTATION (2011)

Article Mathematics, Applied

A new finite element gradient recovery method: Superconvergence property

ZM Zhang et al.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2005)