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- Q5164376 subject Q8415876.
- Q5164376 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.".
- Q5164376 thumbnail Constraint-learning-1.svg?width=300.
- Q5164376 wikiPageExternalLink index.html.
- Q5164376 wikiPageWikiLink Q1128326.
- Q5164376 wikiPageWikiLink Q2254999.
- Q5164376 wikiPageWikiLink Q4839679.
- Q5164376 wikiPageWikiLink Q6674930.
- Q5164376 wikiPageWikiLink Q798554.
- Q5164376 wikiPageWikiLink Q8366.
- Q5164376 wikiPageWikiLink Q8415876.
- Q5164376 wikiPageWikiLink Q875276.
- Q5164376 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.".
- Q5164376 label "Constraint learning".
- Q5164376 depiction Constraint-learning-1.svg.
