In this paper we review a number of auxiliary space based preconditioners for the second
order definite and semi-definite Maxwell problems discretized with the lowest order Nedelec …

We present a novel deep learning-based algorithm to accelerate—through the use of
Artificial Neural Networks (ANNs)—the convergence of Algebraic Multigrid (AMG) methods …

With the rise in popularity of compatible finite element, finite difference, and finite volume
discretizations for the time domain eddy current equations, there has been a corresponding …

We present a novel deep learning-based algorithm to accelerate-through the use of Artificial
Neural Networks (ANNs)-the convergence of Algebraic Multigrid (AMG) methods for the …

We present a general approach to preconditioning large sparse linear systems of equations
arising from conforming finite-element discretizations of-elliptic variational problems. Like …

We develop a fully scalable parallel implementation of an iterative solver for the time-
harmonic Maxwell equations with vanishing wave numbers. We use a mixed finite element …

为了准确预测和分析多重网格法用于大地电磁法正演计算的收敛效果, 对多重网格法的收敛性
进行了广义傅里叶谱分析. 通常情况下, 系数矩阵的傅里叶谱是复数, 为了直观地判断 …

The search for efficient preconditioners for H (curl) problems on unstructured meshes has
intensified in the last few years. The attempts to directly construct AMG (algebraic multigrid) …

This paper presents the use of element-based algebraic multigrid (AMGe) hierarchies,
implemented in the Parallel Element Agglomeration Algebraic Multigrid Upscaling and …

A method of numerically solving the Maxwell equations is considered for modeling harmonic
electromagnetic fields. The vector finite element method makes it possible to obtain a …