We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

Abstract: In this article, a novel multigrid-based method is developed for modeling of electric fields and currents in electrically anisotropic and heterogeneous media. The method is useful for ...

Abstract: Gradient-type distributed optimization methods have blossomed into one of the most important tools for solving a minimization learning task over a networked agent system. However, only one ...

In this paper, we describe a new primal-dual path-following method to solve a convex quadratic program (QP). The derived algorithm is based on new techniques for finding a new class of search ...