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20202022
most citedRecovering simultaneously a potential and a point source from Cauchy data

3 citations · 8 across the 7 of their papers we have counts for

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6 papers · 1 filter

math.NA20221 cited

An Adaptive Finite Element DtN Method for Maxwell's Equations

Gang Bao, Mingming Zhang, Xue Jiang +2

This paper is concerned with a numerical solution to the scattering of a time-harmonic electromagnetic wave by a bounded and impenetrable obstacle in three dimensions. The electrom…

math.NA20211 cited

An adaptive finite element DtN method for the elastic wave scattering problem in three dimensions

Gang Bao, Peijun Li, Xiaokai Yuan

Consider the elastic scattering of an incident wave by a rigid obstacle in three dimensions, which is formulated as an exterior problem for the Navier equation. By constructing a D…

math.NA2020

An inverse spectral problem for a damped wave operator

Gang Bao, Xiang Xu, Jian Zhai

This paper proposes a new and efficient numerical algorithm for recovering the damping coefficient from the spectrum of a damped wave operator, which is a classical Borg-Levinson i…

math.NA20201 cited

An adaptive finite element DtN method for the elastic wave scattering by biperiodic structures

Gang Bao, Xue Jiang, Peijun Li +1

Consider the scattering of a time-harmonic elastic plane wave by a bi-periodic rigid surface. The displacement of elastic wave motion is modeled by the three-dimensional Navier equ…

math.NA2020

Inverse scattering by a random periodic structure

Gang Bao, Yiwen Lin, Xiang Xu

This paper develops an efficient numerical method for the inverse scattering problem of a time-harmonic plane wave incident on a perfectly reflecting random periodic structure. The…

math.NA20201 cited

An adaptive finite element DtN method for the three-dimensional acoustic scattering problem

Gang Bao, Mingming Zhang, Bin Hu +1

This paper is concerned with a numerical solution of the acoustic scattering by a bounded impenetrable obstacle in three dimensions. The obstacle scattering problem is formulated a…