Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

The good news is that sometimes there is a glimmer of the alternative, as we see how the real creators get advanced things done. It’s true that scientists often do get some attention for their ...

Abstract: Dual formulations for optimization problems provide a new way to view the same problem, revealing its structure and bounding optimal solutions. A strong dual formulation constructs a problem ...