activity
20122026
most citedA Multilevel Sampling Algorithm for Locating Inhomogeneous Media

19 citations · 26 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2026

Derivative-Free Recovery of a Nonlinearity in a Free-Boundary DCIS Model

De-Han Chen, Hongyu Liu, Keji Liu

We investigate an inverse coefficient problem for a multidimensional free-boundary model of ductal carcinoma in situ (DCIS), in which the tumor interface is governed by the nonline…

math.NA2018

Optimal Mesh Size for Inverse Medium Scattering Problems

Habib Ammari, Yat Tin Chow, Keji Liu

An optimal mesh size of the sampling region can help to reduce computational burden in practical applications. In this work, we investigate optimal choices of mesh sizes for the id…

math.NA2016

A Multilevel Sampling Method for Detecting Sources in a Stratified Ocean Waveguide

Keji Liu, Yongzhi Xu, Jun Zou

In the reconstruction process of sound waves in a 3D stratified waveguide, a key technique is to effectively reduce the huge computational demand. In this work, we propose an effic…

math-ph2014★ 6 cited

Direct Sampling Method for Diffusive Optical Tomography

Yat Tin Chow, Kazufumi Ito, Keji Liu +1

In this work, we are concerned with the diffusive optical tomography (DOT) problem in the case when only one or two pairs of Cauchy data is available. We propose a simple and effic…

math.OC2013★ 1 cited

Optimal Shape Design by Partial Spectral Data

Habib Ammari, Yat Tin Chow, Keji Liu +1

In this paper, we are concerned with a shape design problem, in which our target is to design, up to rigid transformations and scaling, the shape of an object given either its pola…

math.NA2012★ 19 cited

A Multilevel Sampling Algorithm for Locating Inhomogeneous Media

Keji Liu, Jun Zou

In the reconstruction process of unknown multiple scattering objects in inverse medium scattering problems, the first important step is to effectively locate some approximate domai…