We consider a family of tensor product finite element methods for hyperbolic equations in RN , N 2, which are explicit and generate a continuous approximate solution. The base cas...
We consider a conic-quadratic (and in particular a quadratically constrained) optimization problem with uncertain data, known only to reside in some uncertainty set U. The robust ...
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
In this paper, we study the problem of an optimal assignment of a tree-structured context reasoning procedure onto the computation resources in a hostsatellites configuration. The...
We specify the black box behavior of dataflow components by characterizing the relation between their input and their output histories. We distinguish between three main classes of...