Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
G. Gottlob, C. Okulmus, R. Pichler:
"Fast and Parallel Decomposition of Constraint Satisfaction Problems";
Vortrag: IJCAI 2020,
Yokohama;
01.01.2021
- 10.01.2021; in: "Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, (IJCAI 2020)",
(2021),
S. 1155
- 1162.
Kurzfassung englisch:
Constraint Satisfaction Problems (CSP) are notoriously hard. Consequently, powerful decomposition methods have been developed to overcome this complexity. However, this poses the challenge of actually computing such a decomposition for a given CSP instance, and previous algorithms have shown their limitations in doing so. In this paper, we present a number of key algorithmic improvements and parallelisation techniques to compute so-called Generalized Hypertree Decompositions (GHDs) faster. We thus advance the ability to compute optimal (i.e., minimal-width) GHDs for a significantly wider range of CSP instances on modern machines. This lays the foundation for more systems and applications in evaluating CSPs and related problems (such as Conjunctive Query answering) based on their structural properties.
Schlagworte:
Constraints and SAT: Constraint Satisfaction; Multidisciplinary Topics and Applications: Databases
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.24963/ijcai.2020/161
Zugeordnete Projekte:
Projektleitung Reinhard Pichler:
HyperTrac
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.