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We consider an inverse problem of reconstructing a degeneracy point in the diffusion coefficient in a one-dimensional parabolic equation by measuring the normal derivative on one side of the domain boundary. We analyze the sensitivity of…

偏微分方程分析 · 数学 2023-11-17 Piermarco Cannarsa , Anna Doubova , Masahiro Yamamoto

This paper is concerned with the inverse electromagnetic scattering problem for anisotropic media. We use the interior resonant modes to develop an inverse scattering scheme for imaging the scatterer. The whole procedure consists of three…

偏微分方程分析 · 数学 2022-09-12 Youzi He , Hongjie Li , Hongyu Liu , Xianchao Wang

We consider the inverse problem of recovering a potential from the Dirichlet to Neumann map at a large fixed frequency on certain Riemannian manifolds. We extend the earlier result of [G. Uhlmann and Y. Wang, arXiv:2104.03477] to the case…

偏微分方程分析 · 数学 2023-09-01 Shiqi Ma , Suman Kumar Sahoo , Mikko Salo

We propose a tomographic method to reconstruct the optical properties of a highly-scattering medium from incoherent acousto-optic measurements. The method is based on the solution to an inverse problem for the diffusion equation and makes…

光学 · 物理学 2015-05-14 Guillaume Bal , John C Schotland

This paper considers the inverse problem of recovering state-dependent source terms in a reaction-diffusion system from overposed data consisting of the values of the state variables either at a fixed finite time (census-type data) or a…

数值分析 · 数学 2020-08-26 Barbara Kaltenbacher , William Rundell

A direct reconstruction algorithm based on Calder\'on's linearization method for the reconstruction of isotropic conductivities is proposed for anisotropic conductivities in two-dimensions. To overcome the non-uniqueness of the anisotropic…

数值分析 · 数学 2020-07-20 Rashmi Murthy , Yi-Hsuan Lin , Kwancheol Shin , Jennifer L. Mueller

A novel computational, non-iterative and noise-robust reconstruction method is introduced for the planar anisotropic inverse conductivity problem. The method is based on bypassing the unstable step of the reconstruction of the values of the…

偏微分方程分析 · 数学 2015-06-25 Sarah Jane Hamilton , Matti Lassas , Samuli Siltanen

This paper addresses the electromagnetic inverse scattering problem of determining the location and shape of anisotropic objects from near-field data. We investigate both cases involving the Helmholtz equation and Maxwell's equations for…

数值分析 · 数学 2023-09-25 Tran H. Lan , Dinh-Liem Nguyen

We consider the issues of stability and reconstruction of the electrical anisotropic conductivity of biological tissues in a domain $\Omega\subset\mathbb{R}^3$ by means of the hybrid inverse problem of magneto-acoustic tomography with…

偏微分方程分析 · 数学 2022-08-01 Niall Donlon , Romina Gaburro , Shari Moskow , Isaac Woods

We consider an inverse boundary value problem for the doubly nonlinear parabolic equation \[ \epsilon(x)\partial_t u^m-\nabla\cdot\bigl(\gamma(x)|\nabla u|^{p-2}\nabla u\bigr)=0 \quad\text{in }(0,T)\times\Omega, \] where…

偏微分方程分析 · 数学 2026-03-10 Cătălin I. Cârstea , Tuhin Ghosh

This paper considers the non-linear inverse problem of reconstructing an electric conductivity distribution from the interior power density in a bounded domain. Applications include the novel tomographic method known as acousto-electric…

最优化与控制 · 数学 2018-08-29 B. J. Adesokan , Kim Knudsen , Venkateswaran P. Krishnan , Souvik Roy

This work considers a nonlinear inverse source problem in a coupled diffusion equation from the terminal observation. Theoretically, under some conditions on problem data, we build the uniqueness theorem for this inverse problem and show…

数值分析 · 数学 2025-04-29 Chunlong Sun , Wenlong Zhang , Zhidong Zhang

This paper is devoted to the numerical resolution of an anisotropic non-linear diffusion problem involving a small parameter \varepsilon, defined as the anisotropy strength reciprocal. In this work, the anisotropy is carried by a variable…

数值分析 · 数学 2012-10-03 Stéphane Brull , Fabrice Deluzet , Alexandre Mouton

This article proposes a process to reconstruct a Riemann surface with boundary equipped with a conductivity tensor from its boundary and its Dirichlet-Neumann operator. When initial data comes from a two dimensional real Riemannian oriented…

复变函数 · 数学 2017-05-09 Vincent Michel

The problem of reconstructing the drift of a diffusion in $\erre^d$, $d\geq 2$, from the transition probability density observed outside a domain is considered. The solution of this problem also solves a new inverse problem for a class of…

概率论 · 数学 2007-06-13 Sergio Albeverio , Carlo Marinelli

Within the framework of linear elasticity we assume the availability of internal full-field measurements of the continuum deformations of a non-homogeneous isotropic solid. The aim is the quantitative reconstruction of the associated…

偏微分方程分析 · 数学 2015-06-17 Guillaume Bal , Cédric Bellis , Sébastien Imperiale , François Monard

We consider the two dimensional quantitative imaging problem of recovering a radiative source inside an absorbing and scattering medium from knowledge of the outgoing radiation measured at the boundary. The medium has an anisotropic…

数值分析 · 数学 2021-01-21 Hiroshi Fujiwara , Kamran Sadiq , Alexandru Tamasan

We address the inverse problem of recovering a degeneracy point within the diffusion coefficient of a one-dimensional complex parabolic equation by observing the normal derivative at one point of the boundary. The strongly degenerate case…

偏微分方程分析 · 数学 2026-05-13 Piermarco Cannarsa , Veronica Danesi , Anna Doubova

We establish results for the injectivity and injectivity modulo gauge of certain inverse source problems in transport on a simply connected domain with variable index of refraction inducing a 'simple geometry'. The model given by radiative…

偏微分方程分析 · 数学 2019-08-20 Guillaume Bal , François Monard

A radial transverse resonance model for two cylindrical concentric layers with different complex dielectric constants is presented. An inverse problem with four unknowns - 3 physical material parameters and one dimensional dielectric layer…

光学 · 物理学 2016-03-24 Anders Eriksson , Truls Martin Larsen , Larisa Beilina