In this paper we describe a flexible and efficient new algorithm for model order reduction of parameterized systems. The method is based on the reformulation of the parametric s...
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Pervasive computing, the new computing paradigm aiming at providing services anywhere at anytime, poses great challenges on dynamic service composition. Existing service compositi...
— In many applications of failure time data analysis, it is important to perform inferences about the median of the distribution function in situations of failure time data model...
In digital circuit simulation hidden opportunities for concurrent execution of models often exist, arising from the propagation delay associated with the generation of output even...