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In this article, for a fourth-order parabolic equation which is closely related for example to the Cahn-Hilliard equation, we study an inverse source problem by interior data and the continuation of solution from lateral Cauchy data. Our…

偏微分方程分析 · 数学 2020-09-25 O. Yu. Imanuvilov , M. Yamamoto

We consider two phaseless inverse problems for elliptic equation. The statements of these problems differ from have considered. Namely, instead of given information about modulus of scattering waves, we consider the information related to…

偏微分方程分析 · 数学 2018-01-31 V. G. Romanov , M. Yamamoto

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

We show that the use of the electromagnetic inverse source framework offers great flexibility in the design of metasurfaces. In particular, this approach is advantageous for antenna design applications where the goal is often to satisfy a…

应用物理 · 物理学 2019-10-17 Trevor Brown , Chaitanya Narendra , Yousef Vahabzadeh , Christophe Caloz , Puyan Mojabi

Using measure theoretic arguments, we provide a general framework for describing and studying the general linear inverse dispersion problem where no a priori assumptions on the source function has been made. We investigate the source-sensor…

大气与海洋物理 · 物理学 2014-09-18 Niklas Brännström , Leif Å Persson

A numerical method is developed for recovering both the source locations and the obstacle from the scattered Cauchy data of the time-harmonic acoustic field. First of all, the incident and scattered components are decomposed from the…

数值分析 · 数学 2023-06-13 Deyue Zhang , Yan Chang , Yukun Guo

We study an inverse source scattering problem for the Schr\"odinger equation with a quadratic nonlinearity. In general, uniqueness of inverse source problems can not be guaranteed at a fixed energy. Therefore, additional information is…

偏微分方程分析 · 数学 2023-03-22 Lei Zhang , Yue Zhao

In this paper, we study an inverse problem for linear parabolic system with variable diffusion coefficients subject to dynamic boundary conditions. We prove a global Lipschitz stability for the inverse problem involving a simultaneous…

偏微分方程分析 · 数学 2022-01-04 E. M. Ait Ben Hassi , S. E. Chorfi , L. Maniar , O. Oukdach

We study the problem of finding the resistors in a resistor network from measurements of the power dissipated by the resistors under different loads. We give sufficient conditions for local uniqueness, i.e. conditions that guarantee that…

偏微分方程分析 · 数学 2024-07-22 Marcus Corbett , Fernando Guevara Vasquez , Alexander Royzman , Guang Yang

In this article we study inverse source problems for time-fractional diffusion equations from \textit{a posteriori} boundary measurement. Using the memory effect of these class of equations, we solve these inverse problems for several class…

偏微分方程分析 · 数学 2022-07-15 Jaan Janno , Yavar Kian

Inverse scattering problems are critical in electromagnetic imaging and medical diagnostics but are challenged by their nonlinearity and diverse measurement scenarios. This paper proposes a physics-informed deep contrast source inversion…

计算物理 · 物理学 2025-08-15 Haoran Sun , Daoqi Liu , Hongyu Zhou , Maokun Li , Shenheng Xu , Fan Yang

Inverse normal transformations applied to the partially overlapping samples t-tests by Derrick et.al. (2017) are considered for their Type I error robustness and power. The inverse normal transformation solutions proposed in this paper are…

统计计算 · 统计学 2017-08-02 Ben Derrick , Paul White , Deirdre Toher

We consider the problem of adaptive blind separation of two sources from their instantaneous mixtures. We focus on the case where the two sources are not necessarily independent. By analyzing a general form of adaptive algorithms we show…

信号处理 · 电气工程与系统科学 2019-08-08 George V. Moustakides , Feeby Salib , Kalliopi Basioti

The inverse source problem for the radiative transfer equation is considered, with partial data. Here it is shown that under certain smoothness conditions on the scattering and absorption coefficients, one can recover sources supported in a…

偏微分方程分析 · 数学 2015-05-28 Mark Hubenthal

We are concerned with time-dependent inverse source problems in elastodynamics. The source term is supposed to be the product of a spatial function and a temporal function with compact support. We present frequency-domain and time-domain…

偏微分方程分析 · 数学 2018-04-04 Gang Bao , Guanghui Hu , Yavar Kian , Tao Yin

Diffusion models have been used as priors for solving inverse problems. However, existing approaches typically overlook side information that could significantly improve reconstruction quality, especially in severely ill-posed settings. In…

计算机视觉与模式识别 · 计算机科学 2026-05-27 Mahdi Farahbakhsh , Vishnu Teja Kunde , Dileep Kalathil , Krishna Narayanan , Jean-Francois Chamberland

An inverse source problem for the heat equation is considered. Extraction formulae for information about the time and location when and where the unknown source of the equation firstly appeared are given from a single lateral boundary…

偏微分方程分析 · 数学 2010-02-16 Masaru Ikehata

Consider the one-dimensional stochastic Helmholtz equation where the source is assumed to be driven by the white noise. This paper concerns the stability analysis of the inverse random source problem which is to reconstruct the statistical…

偏微分方程分析 · 数学 2016-07-25 Peijun Li , Ganghua Yuan

Diffusion models have become a successful approach for solving various image inverse problems by providing a powerful diffusion prior. Many studies tried to combine the measurement into diffusion by score function replacement, matrix…

计算机视觉与模式识别 · 计算机科学 2024-05-20 Hanyu Chen , Zhixiu Hao , Liying Xiao

This paper investigates an inverse source problem for space-time fractional diffusion equations from a posteriori interior measurements. The uniqueness result is established by the memory effect of fractional derivatives and the unique…

数值分析 · 数学 2025-10-24 Kai Yu , Zhiyuan Li , Yikan Liu