activity
20062022
most citedA Direct Sampling Method for Inverse Electromagnetic Medium Scattering

74 citations · 285 across the 55 of their papers we have counts for

collaborators

55 papers

math.NA2022

Finite Element Method for a Nonlinear PML Helmholtz Equation with High Wave Number

Run Jiang, Yonglin Li, Haijun Wu +1

A nonlinear Helmholtz equation (NLH) with high wave number and Sommerfeld radiation condition is approximated by the perfectly matched layer (PML) technique and then discretized by…

math.NA2022

A family of immersed finite element spaces and applications to three dimensional interface problems

Long Chen, Ruchi Guo, Jun Zou

Maxwell interface problems are of great importance in many electromagnetic applications. Unfitted mesh methods are especially attractive in 3D computation as they can circumvent ge…

math-ph2022★ 2 cited

Elastodynamical resonances and cloaking of negative material structures beyond quasistatic approximation

Hongjie Li, Hongyu Liu, Jun Zou

Given the flexibility of choosing negative elastic parameters, we construct material structures that can induce two resonance phenomena, referred to as the elastodynamical resonanc…

math.NA2022

Least-Squares Method for Inverse Medium Problems

Kazufumi Ito, Ying Liang, Jun Zou

We present a two-stage least-squares method to inverse medium problems of reconstructing multiple unknown coefficients simultaneously from noisy data. A direct sampling method is a…

math.AP2021

Two unique Identifiability results for inverse scattering problems within polyhedral geometries

Xinlin cao, Huaian Diao, Hongyu Liu +1

We consider the unique determinations of impenetrable obstacles or diffraction grating profiles in by a single far-field measurement within polyhedral geometries. We…

math.NA2021★ 6 cited

An Analysis of Stochastic Variance Reduced Gradient for Linear Inverse Problems

Bangti Jin, Zehui Zhou, Jun Zou

Stochastic variance reduced gradient (SVRG) is a popular variance reduction technique for accelerating stochastic gradient descent (SGD). We provide a first analysis of the method…