/********************* */ /*! \file dual_simplex.h ** \verbatim ** Top contributors (to current version): ** Tim King, Mathias Preiner ** This file is part of the CVC4 project. ** Copyright (c) 2009-2018 by the authors listed in the file AUTHORS ** in the top-level source directory) and their institutional affiliations. ** All rights reserved. See the file COPYING in the top-level source ** directory for licensing information.\endverbatim ** ** \brief This is an implementation of the Simplex Module for the Simplex for DPLL(T) ** decision procedure. ** ** This implements the Simplex module for the Simpelx for DPLL(T) decision procedure. ** See the Simplex for DPLL(T) technical report for more background.(citation?) ** This shares with the theory a Tableau, and a PartialModel that: ** - satisfies the equalities in the Tableau, and ** - the assignment for the non-basic variables satisfies their bounds. ** This is required to either produce a conflict or satisifying PartialModel. ** Further, we require being told when a basic variable updates its value. ** ** During the Simplex search we maintain a queue of variables. ** The queue is required to contain all of the basic variables that voilate their bounds. ** As elimination from the queue is more efficient to be done lazily, ** we do not maintain that the queue of variables needs to be only basic variables or only ** variables that satisfy their bounds. ** ** The simplex procedure roughly follows Alberto's thesis. (citation?) ** There is one round of selecting using a heuristic pivoting rule. (See PreferenceFunction ** Documentation for the available options.) ** The non-basic variable is the one that appears in the fewest pivots. (Bruno says that ** Leonardo invented this first.) ** After this, Bland's pivot rule is invoked. ** ** During this proccess, we periodically inspect the queue of variables to ** 1) remove now extraneous extries, ** 2) detect conflicts that are "waiting" on the queue but may not be detected by the ** current queue heuristics, and ** 3) detect multiple conflicts. ** ** Conflicts are greedily slackened to use the weakest bounds that still produce the ** conflict. ** ** Extra things tracked atm: (Subject to change at Tim's whims) ** - A superset of all of the newly pivoted variables. ** - A queue of additional conflicts that were discovered by Simplex. ** These are theory valid and are currently turned into lemmas **/ #include "cvc4_private.h" #pragma once #include "theory/arith/simplex.h" #include "util/statistics_registry.h" namespace CVC4 { namespace theory { namespace arith { class DualSimplexDecisionProcedure : public SimplexDecisionProcedure{ public: DualSimplexDecisionProcedure(LinearEqualityModule& linEq, ErrorSet& errors, RaiseConflict conflictChannel, TempVarMalloc tvmalloc); Result::Sat findModel(bool exactResult) override { return dualFindModel(exactResult); } private: /** * Maps a variable to how many times they have been used as a pivot in the * simplex search. */ DenseMultiset d_pivotsInRound; Result::Sat dualFindModel(bool exactResult); /** * This is the main simplex for DPLL(T) loop. * It runs for at most maxIterations. * * Returns true iff it has found a conflict. * d_conflictVariable will be set and the conflict for this row is reported. */ bool searchForFeasibleSolution(uint32_t maxIterations); bool processSignals(){ TimerStat &timer = d_statistics.d_processSignalsTime; IntStat& conflictStat = d_statistics.d_recentViolationCatches; return standardProcessSignals(timer, conflictStat); } /** These fields are designed to be accessible to TheoryArith methods. */ class Statistics { public: IntStat d_statUpdateConflicts; TimerStat d_processSignalsTime; IntStat d_simplexConflicts; IntStat d_recentViolationCatches; TimerStat d_searchTime; ReferenceStat d_finalCheckPivotCounter; Statistics(uint32_t& pivots); ~Statistics(); } d_statistics; };/* class DualSimplexDecisionProcedure */ }/* CVC4::theory::arith namespace */ }/* CVC4::theory namespace */ }/* CVC4 namespace */