We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Object-based knowledge representation systems bene t from the declarative power of the object formalism for modeling, organizing and storing large amounts of knowledge. They also ...
Abstract. Meta-S is a constraint solver cooperation system which allows the dynamic integration of arbitrary external (stand-alone) solvers and their combination with declarative l...
An important performance measure in wireless networks is the manner in which the network can distributively manage its limited energy and spectrum resources, while assuring certain...
—Both the communication limitation and the measurement properties based algorithm become the bottleneck of enhancing the traditional power system state estimation speed. The avai...