Many combinatorial (optimisation) problems have natural models based on, or including, set variables and set constraints. This was already known to the constraint programming commu...
Abstract—Dynamically allocated and manipulated data structures cannot be translated into hardware unless there is an upper bound on the amount of memory the program uses during a...
Byron Cook, Ashutosh Gupta, Stephen Magill, Andrey...
Abstract. One of the most appealing features of constraint programming is its rich constraint language for expressing combinatorial optimization problems. This paper demonstrates t...
We describe the motivation and design of a novel embedded systems architecture for large networks of small devices, tha canonical example being wireless sensor networks. The archit...
Constraint programming provides a declarative approach to solving combinatorial (optimization) problems. The user just states the problem as a constraint satisfaction problem (CSP)...