Réduction d'ordre partiel


Révision datée du 31 décembre 2018 à 15:54 par Pitpitt (discussion | contributions) (Remplacement de texte — « Termes privilégiés » par « Français »)

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Partial order reduction

In computer science, partial order reduction is a technique for reducing the size of the state-space to be searched by a model checking or Automated planning and scheduling algorithm. It exploits the commutativity of concurrently executed transitions, which result in the same state when executed in different orders.

In explicit state space exploration, partial order reduction usually refers to the specific technique of expanding a representative subset of all enabled transitions. This technique has also been described as model checking with representatives (Peled 1993). There are various versions of the method, the so-called stubborn set method (Valmari 1990), ample set method (Peled 1993), and persistent set method (Godefroid 1994).