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http://dbpedia.org/ontology/abstract In constraint satisfaction backtracking alIn 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.n applied to propositional satisfiability.
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rdfs:comment In constraint satisfaction backtracking alIn 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.n applied to propositional satisfiability.
rdfs:label Constraint learning
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