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SMT-RAT
24.02
Toolbox for Strategic and Parallel Satisfiability-Modulo-Theories Solving
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#include <Tableau.h>

Public Member Functions | |
| LearnedBound ()=delete | |
| LearnedBound (const LearnedBound &)=delete | |
| LearnedBound (LearnedBound &&_toMove) | |
| LearnedBound (const Value< T1 > &_limit, const Bound< T1, T2 > *_newBound, typename Bound< T1, T2 >::BoundSet::const_iterator _nextWeakerBound, std::vector< const Bound< T1, T2 > * > &&_premise) | |
| ~LearnedBound () | |
Data Fields | |
| const Bound< T1, T2 > * | newBound |
| Value< T1 > | newLimit |
| Bound< T1, T2 >::BoundSet::const_iterator | nextWeakerBound |
| std::vector< const Bound< T1, T2 > * > | premise |
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delete |
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delete |
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inline |
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inline |
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inline |
| const Bound<T1, T2>* smtrat::lra::Tableau< Settings, T1, T2 >::LearnedBound::newBound |
| Value<T1> smtrat::lra::Tableau< Settings, T1, T2 >::LearnedBound::newLimit |
| Bound<T1, T2>::BoundSet::const_iterator smtrat::lra::Tableau< Settings, T1, T2 >::LearnedBound::nextWeakerBound |
| std::vector< const Bound<T1, T2>*> smtrat::lra::Tableau< Settings, T1, T2 >::LearnedBound::premise |