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, ...

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help ...

Efforts to use the tech to customize lessons to students' individual interest demonstrate its potential—and the shortcomings.

We study a class of integer bilevel problems, the so-called Integer Linear Multiplicative Bilevel Problem, ILMBP, where the constraints are linear and both the upper level problem and the lower level ...

Abstract: This letter presents an easy-to-use technique for identifying lumped parameters of equivalent circuits for multiwinding transformers. The equivalent circuit helps to model ...