Abstract—We address the problem of maximizing the minimum signal to interference and noise ratio of individual users via linear precoding in a multiuser downlink channel with mul...
Albrecht J. Fehske, Fred Richter, Gerhard Fettweis
The proposed work involves conversion of a given circuit model into a set of constraints and employing constraint solvers to generate tests for it. The method is demonstrated for ...
Submodular constraints play an important role both in theory and practice of valued constraint satisfaction problems (VCSPs). It has previously been shown, using results from the ...
We consider nonsmooth multiobjective fractional programming problems with inequality and equality constraints. We establish the necessary and sufficient optimality conditions under...
This paper presents a novel recurrent neural network for solving nonlinear optimization problems with inequality constraints. Under the condition that the Hessian matrix of the ass...