This paper surveys an important class of methods that combine iterative projection methods
and variational regularization methods for large-scale inverse problems. Iterative methods …

Acoustic tomography is a technique widely used in nonintrusive temperature measurement.
The time of flight (TOF) of acoustic waves can be used to estimate the temperatures of a …

Triboelectric nanogenerator (TENG) operates on the principle of utilizing contact
electrification and electrostatic induction. However, visualization and standardized …

Block coordinate descent is an optimization paradigm that iteratively updates one block of
variables at a time, making it quite amenable to big data applications due to its scalability …

In this paper we describe TRIPs-Py, a new Python package of linear discrete inverse
problems solvers and test problems. The goal of the package is two-fold: 1) to provide tools …

This paper presents two new augmented flexible (AF)-Krylov subspace methods, AF-
GMRES and AF-LSQR, to compute solutions of large-scale linear discrete ill-posed …

Many successful variational regularization methods employed to solve linear inverse
problems in imaging applications (such as image deblurring, image inpainting, and …

In this paper, we consider the preconditioned iteration methods for ill-conditioned BEM
linear system. We propose a class of generalized refined preconditioners and study some …

Electrical Impedance Tomography (EIT) is a well-known imaging technique for detecting the
electrical properties of an object in order to detect anomalies, such as conductive or resistive …

Inverse models arise in various environmental applications, ranging from atmospheric
modeling to geosciences. Inverse models can often incorporate predictor variables, similar …