Abstract: In the domain of full-wave inverse scattering imaging problems, subspace-based optimization methods (SOMs) often perform suboptimal performance under significant noise conditions due to the ...

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 ...

So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...