activity
20132026
most citedThe discrete inverse conductivity problem solved by the weights of an interpretable neural network

1 citations · 1 across the 9 of their papers we have counts for

collaborators

11 papers

math.AP2026

On the Uniqueness of a Nonlinear Discrete Calderón Problem

Elena Beretta, Maolin Deng, Alberto Gandolfi +1

The discrete Calderón problem aims at recovering the conductivity on the edges of a graph from boundary measurements, encoded by the discrete Dirichlet-to-Neumann (DtN) map. The pr…

math.AP2026

Stability and Reconstruction of a Nonlinearity in a Parabolic Equation from Partial Boundary Data

Jason Choy, Maolin Deng, Bangti Jin +1

In this work, we investigate the inverse problem of determining a semilinear term in a nonlinear parabolic equation from one single boundary flux measurement taken on an arbitrary…

math.NA2026

Numerical Analysis of Space-Time Dependent Source Identification in Subdiffusion Equations

Siyu Cen, Bangti Jin, Yavar Kian +1

In this work, we propose an easy-to-implement fixed-point algorithm for reconstructing a space-time dependent source in a subdiffusion model from lateral boundary measurements. The…

math.AP2026

Identification of a Point Source in the Heat Equation from Sparse Boundary Measurements

Fangyu Gong, Bangti Jin, Yavar Kian +1

In this work we investigate the inverse problem of recovering one point source in the heat equation from sparse boundary measurement, i.e., the flux data at several points on the b…

math.AP2026

Stability Estimates for the Inverse Problem of Reconstructing Point sources in Parabolic Equations

Kuang Huang, Bangti Jin, Yavar Kian +1

In this work, we investigate the stability issue of the inverse problem of determining the locations and time-dependent amplitudes of point sources in a parabolic equation with a n…

math.AP2026

Unique Determination of Variable Order in Subdiffusion from a Single Measurement

Jiho Hong, Bangti Jin, Yavar Kian

We study the inverse problem of recovering a spatially dependent variable order in a time-fractional diffusion model from the boundary flux measurement generated by a single bounda…

math-ph2025

On the uniqueness of the discrete Calderon problem on multi-dimensional lattices

Maolin Deng, Bangti Jin

In this work, we investigate the discrete Calderón problem on grid graphs of dimension three or higher, formed by hypercubic structures. The discrete Calderón problem is concerned…

math.AP2025

Simultaneous Identification of Coefficients and Source in a Subdiffusion Equation from One Passive Measurement

Maolin Deng, Ali Feizmohammadi, Bangti Jin +1

This article is devoted to the detection of parameters in anomalous diffusion from a single passive measurement. More precisely, we consider the simultaneous identification of coef…

math.AP2025

Stable Determination and Reconstruction of a Quasilinear Term in an Elliptic Equation

Jason Choy, Maolin Deng, Bangti Jin +1

In this work, we investigate the inverse problem of determining a quasilinear term appearing in a nonlinear elliptic equation from the measurement of the conormal derivative on the…

math.NA2024★ 1 cited

The discrete inverse conductivity problem solved by the weights of an interpretable neural network

Elena Beretta, Maolin Deng, Alberto Gandolfi +1

In this work, we develop a novel neural network (NN) approach to solve the discrete inverse conductivity problem of recovering the conductivity profile on network edges from the di…

math.NA2013

Galerkin FEM for fractional order parabolic equations with initial data in

Bangti Jin, Raytcho Lazarov, Joseph Pasciak +1

We investigate semi-discrete numerical schemes based on the standard Galerkin and lumped mass Galerkin finite element methods for an initial-boundary value problem for homogeneous…