QBF is the problem of deciding the satisfiability of quantified boolean formulae in which variables can be either universally or existentially quantified. QBF generalizes SAT (S...
Abstract. We investigate the dynamic variable ordering (DVO) technique commonly used in conjunction with tree-search algorithms for solving constraint satisfaction problems. We fi...
Conflict analysis is a powerful paradigm of backtrack search algorithms, in particular for solving satisfiability problems arising from practical applications. Accordingly, most...
Richard Ostrowski, Bertrand Mazure, Lakhdar Sais, ...
The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation pr...
We introduce a graph clustering problem motivated by a stream processing application. Input to our problem is an undirected graph with vertex and edge weights. A cluster is a subse...