To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
Primal-dual Interior-Point Methods (IPMs) have shown their ability in solving large classes of optimization problems efficiently. Feasible IPMs require a strictly feasible startin...
: Feature diagrams (FDs) are a family of popular modelling languages, mainly used for managing variability in software product lines. FDs were first introduced by Kang et al. as pa...
Patrick Heymans, Pierre-Yves Schobbens, Jean-Chris...
By combining the Open Kernel Environment, a Click-like software model known as Corral and basic concepts of active networking, we allow third-party code to control the code organi...
Illustrative rendering is a widely used visualization technique to display conceptual information, describe problems and give insight to solve them efficiently in science, engine...
Jingshu Huang, Brian Bue, Avin Pattath, David S. E...