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author | Harpreet | 2016-09-03 00:36:51 +0530 |
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committer | Harpreet | 2016-09-03 00:36:51 +0530 |
commit | a0d9443af147e949c1e6a01ac24749d12593ec5b (patch) | |
tree | 1a1955c5482ae608fd7f618b06f4ecc6a0d39a23 /thirdparty/linux/include/coin/BonHeuristicDiveFractional.hpp | |
parent | 4b64cf486f5c999fd8167758cae27839f3b50848 (diff) | |
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cbcintlinprog added
Diffstat (limited to 'thirdparty/linux/include/coin/BonHeuristicDiveFractional.hpp')
-rw-r--r-- | thirdparty/linux/include/coin/BonHeuristicDiveFractional.hpp | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/thirdparty/linux/include/coin/BonHeuristicDiveFractional.hpp b/thirdparty/linux/include/coin/BonHeuristicDiveFractional.hpp new file mode 100644 index 0000000..a5efbc6 --- /dev/null +++ b/thirdparty/linux/include/coin/BonHeuristicDiveFractional.hpp @@ -0,0 +1,67 @@ +// Copyright (C) 2007, International Business Machines Corporation and others. +// All Rights Reserved. +// This code is published under the Eclipse Public License. +// +// Authors : +// Joao P. Goncalves, International Business Machines Corporation +// +// Date : November 12, 2007 + +#ifndef BonHeuristicDiveFractional_H +#define BonHeuristicDiveFractional_H + +#include "BonBonminSetup.hpp" +#include "BonHeuristicDive.hpp" + +/** DiveFractional class + */ + +namespace Bonmin +{ + class HeuristicDiveFractional : public HeuristicDive { + public: + /// Default Constructor + HeuristicDiveFractional (); + + /// Constructor with setup + HeuristicDiveFractional(BonminSetup * setup); + + /// Copy constructor + HeuristicDiveFractional(const HeuristicDiveFractional ©); + + /// Destructor + ~HeuristicDiveFractional() {} + + /// Assignment operator + HeuristicDiveFractional & operator=(const HeuristicDiveFractional & rhs); + + /// Clone + virtual CbcHeuristic * clone() const; + + /** Change setup used for heuristic.*/ + virtual void setSetup(BonminSetup * setup){ + HeuristicDive::setSetup(setup); + Initialize(setup->options()); + } + + /// sets internal variables + virtual void setInternalVariables(TMINLP2TNLP* minlp); + + /// Selects the next variable to branch on + /** If bestColumn = -1, it means that no variable was found + */ + virtual void selectVariableToBranch(TMINLP2TNLP* minlp, + const vector<int> & integerColumns, + const double* newSolution, + int& bestColumn, + int& bestRound); + + /** Register the options common to all local search based heuristics.*/ + static void registerOptions(Ipopt::SmartPtr<Bonmin::RegisteredOptions> roptions); + + /** Initiaize using passed options.*/ + void Initialize(Ipopt::SmartPtr<Ipopt::OptionsList> options); + + }; +} +#endif |