We propose and analyse a hybrid high-order (HHO) scheme for stationary incompressible magnetohydrodynamics equations. The scheme has an arbitrary order of accuracy and is applicable on generic polyhedral meshes. For sources that are small enough, we prove error estimates in energy norm for the velocity and magnetic field, and $L^2$-norm for the pressure; these estimates are fully robust with respect to small faces, and of optimal order with respect to the mesh size. Using compactness techniques, we also prove that the scheme converges to a solution of the continuous problem, irrespective of the source being small or large. Finally, we illustrate our theoretical results through 3D numerical tests on tetrahedral and Voronoi mesh families.
A linearized energy preserving finite element method for the dynamical incompressible magnetohydrodynamics equations
School of Mathematics and Statistics, Huazhong University of Science and Technology（华中科技大学数学与统计学院）；Department of Mathematics, City University of Hong Kong（香港城市大学数学系）
Numerical Analysis of a Variable-Order Time-Fractional Incompressible Magnetohydrodynamics System
Institute of Information and Computational Technologies（信息与计算技术研究所）；Abai Kazakh National Pedagogical University（阿拜哈萨克国立师范大学）；Sarsen Amanzholov East Kazakhstan University（萨尔森·阿曼佐洛夫东哈萨克斯坦大学）
Structure-preserving Randomized Neural Networks for Incompressible Magnetohydrodynamics Equations
School of Mathematics and Statistics, Xi’an Jiaotong University（西安交通大学数学与统计学院）；School of Mathematics and Statistics & State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University（西安交通大学数学与统计学院及电力工程多相流国家重点实验室）；School of Mathematics and Statistics, Henan University（河南大学数学与统计学院）
