Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
In a distributed computing system (DCS), we need to allocate a number of modules to different processors for execution. It is desired to maximize the processor synergism in order...
Abstract. This paper derives an optimization-based control methodology for networks of switched and hybrid systems in which each mode is governed by a partial differential equatio...
Alexandre M. Bayen, Robin L. Raffard, Claire Tomli...
Routing in computer networks is a nonlinear combinatorial optimization problem with numerous constraints and is classified as an NP-complete problem. There are certain important Qo...
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...