activity
20182022
most citedQuality-Bayesian approach to inverse acoustic source problems with partial data

2 citations · 6 across the 8 of their papers we have counts for

collaborators

13 papers

math.NA2022

A highly accurate perfectly-matched-layer boundary integral equation solver for acoustic layered-medium problems

Wangtao Lu, Liwei Xu, Tao Yin +1

Based on the perfectly matched layer (PML) technique, this paper develops a high-accuracy boundary integral equation (BIE) solver for acoustic scattering problems in locally defect…

math.NA20221 cited

Optimal error estimates of a Crank--Nicolson finite element projection method for magnetohydrodynamic equations

Cheng Wang, Jilu Wang, Zeyu Xia +1

In this paper, we propose and analyze a fully discrete finite element projection method for the magnetohydrodynamic (MHD) equations. A modified Crank--Nicolson method and the Galer…

math.NA2022

On the hyper-singular boundary integral equation methods for dynamic poroelasticity: three dimensional case

Lu Zhang, Liwei Xu, Tao Yin

In our previous work [SIAM J. Sci. Comput. 43(3) (2021) B784-B810], an accurate hyper-singular boundary integral equation method for dynamic poroelasticity in two dimensions has be…

math.AP2021

On the generalized Calderón formulas for closed- and open-surface elastic scattering problems

Liwei Xu, Tao Yin

The Calderón formulas (i.e., the combination of single-layer and hyper-singular boundary integral operators) have been widely utilized in the process of constructing valid boundary…

math.NA2020

Optimal error estimates of a second-order projection finite element method for magnetohydrodynamic equations

Cheng Wang, Jilu Wang, Zeyu Xia +1

In this paper, we propose and analyze a temporally second-order accurate, fully discrete finite element method for the magnetohydrodynamic (MHD) equations. A modified Crank--Nicols…

math.NA2020

An extended sampling-ensemble Kalman filter approach for partial data inverse elastic problems

Zhaoxing Li, Jiguang Sun, Liwei Xu

Inverse problems are more challenging when only partial data are available in general. In this paper, we propose a two-step approach combining the extended sampling method and the…