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- Constraint_learning abstract "In constraint satisfaction backtracking algorithms, constraint learning is a technique for improving efficiency. It works by recording new constraints whenever an inconsistency is found. This new constraint may reduce the search space, as future partial evaluations may be found inconsistent without further search. Clause learning is the name of this technique when applied to propositional satisfiability.".
- Constraint_learning thumbnail Constraint-learning-1.svg?width=300.
- Constraint_learning wikiPageExternalLink index.html.
- Constraint_learning wikiPageID "4016640".
- Constraint_learning wikiPageRevisionID "576041209".
- Constraint_learning hasPhotoCollection Constraint_learning.
- Constraint_learning subject Category:Constraint_programming.
- Constraint_learning comment "In constraint satisfaction backtracking algorithms, constraint learning is a technique for improving efficiency. It works by recording new constraints whenever an inconsistency is found. This new constraint may reduce the search space, as future partial evaluations may be found inconsistent without further search. Clause learning is the name of this technique when applied to propositional satisfiability.".
- Constraint_learning label "Constraint learning".
- Constraint_learning sameAs m.0bcpst.
- Constraint_learning sameAs Q5164376.
- Constraint_learning sameAs Q5164376.
- Constraint_learning wasDerivedFrom Constraint_learning?oldid=576041209.
- Constraint_learning depiction Constraint-learning-1.svg.
- Constraint_learning isPrimaryTopicOf Constraint_learning.
