Abstract: Sparsity-regularized linear inverse problem has served as the base in many disciplines, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed ...

This repository contains the code for the paper: “Unraveling biochemical spatial patterns: machine learning approaches to the inverse problem of stationary Turing patterns.” The framework provides ...

Abstract: The conjugate-gradient method (CGM) is a traditional approach to solve the inverse scattering problem (ISP). This method requires the solution of both the forward problem and the calculation ...