Invertible neural networks (INNs) represent an important class of deep n...
In this work, we focus on the inverse medium scattering problem (IMSP), ...
A nonlinear Helmholtz equation (NLH) with high wave number and Sommerfel...
Maxwell interface problems are of great importance in many electromagnet...
Discrete phase shifters of intelligent reflecting surface (IRS) generate...
We present a two-stage least-squares method to inverse medium problems o...
The asymptotic stable region and long-time decay rate of solutions to li...
Stochastic variance reduced gradient (SVRG) is a popular variance reduct...
In this work, an adaptive edge element method is developed for an
H(curl...
DOA estimation for massive multiple-input multiple-output (MIMO) system ...
In this article, we develop and analyze a finite element method with the...
In this work, we present a rather general class of transport distances o...
In this work, we propose and analyse a weak Galerkin method for the
elec...
We propose a novel direct sampling method (DSM) for the effective and st...
Stochastic gradient descent (SGD) is a promising method for solving
larg...
In this work, we investigate a class of elliptic inverse problems and ai...
In this paper, we propose a sequential and incremental precoder design f...
In this paper, we make an investigation of receive antenna selection (RA...
We study an inverse problem associated with an eddy current model. We fi...
In this work, we analyze the regularizing property of the stochastic gra...
In this paper, we consider the frequency-domain Maxwell's equations coup...