Neural networks have emerged as a powerful framework for addressing complex problems across numerous scientific domains. In particular, the interplay between neural network models and constraint ...

Constraint satisfaction problems are at the heart of statistical physics, information theory and computer science. Typically, they involve a large set of variables, each taking values in a small ...

If you’ve ever completed a sudoku puzzle, then you’ve completed a constraint satisfaction problem (CSP). This type of problem is defined as a mathematical question where a number of constraints or ...

RODOS is a Real-time On-line DecisiOn Support system intended for use throughout a nuclear emergency, extending into the longer term. In this paper we concentrate on the early phases in which ...

This is a preview. Log in through your library . Abstract We study the performance of stochastic local search algorithms for random instances of the K-satisfiability (K-SAT) problem. We present a ...

Marcel Jackson receives funding from the Australian Research Council for a project involving the algebraic theory of constraint satisfaction problems. When you look at a train or university timetable ...