1 code implementation • 21 Sep 2022 • Georg Gottlob, Matthias Lanzinger, Davide Mario Longo, Cem Okulmus
As decompositions can be reused to solve CSPs with the same constraint scopes, investing resources in computing good decompositions is beneficial, even though the computation itself is hard.
no code implementations • 29 Dec 2020 • Georg Gottlob, Matthias Lanzinger, Davide Mario Longo, Cem Okulmus, Reinhard Pichler
Constraint Satisfaction Problems (CSPs) play a central role in many applications in Artificial Intelligence and Operations Research.
1 code implementation • 2 Sep 2020 • Wolfgang Fischl, Georg Gottlob, Davide Mario Longo, Reinhard Pichler
To cope with the intractability of answering Conjunctive Queries (CQs) and solving Constraint Satisfaction Problems (CSPs), several notions of hypergraph decompositions have been proposed -- giving rise to different notions of width, noticeably, plain, generalized, and fractional hypertree width (hw, ghw, and fhw).