We study the impact of backbones in optimization and approximation problems. We show that some optimization problems like graph coloring resemble decision problems, with problem h...
We propose an event-driven framework dedicated to the design and the simulation of networks of spiking neurons. It consists stract model of spiking neurons and an efficient event-d...
The cost and complexity of administration of large systems has come to dominate their total cost of ownership. Stateless and soft-state components, such as Web servers or network ...
We review the basic principles of Quasi-Monte Carlo (QMC) methods, the randomizations that turn them into variancereduction techniques, and the main classes of constructions under...
Factory physics provides a systematic description, expressed as laws, of the underlying behavior of a system. These laws can provide important assistance in performing simulation ...