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authorHarpreet2016-09-03 00:36:51 +0530
committerHarpreet2016-09-03 00:36:51 +0530
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tree1a1955c5482ae608fd7f618b06f4ecc6a0d39a23 /newstructure/thirdparty/linux/include/coin/CglDuplicateRow.hpp
parent4b64cf486f5c999fd8167758cae27839f3b50848 (diff)
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-// $Id: CglDuplicateRow.hpp 1119 2013-04-06 20:24:18Z stefan $
-// Copyright (C) 2004, International Business Machines
-// Corporation and others. All Rights Reserved.
-// This code is licensed under the terms of the Eclipse Public License (EPL).
-
-#ifndef CglDuplicateRow_H
-#define CglDuplicateRow_H
-
-#include <string>
-
-#include "CglCutGenerator.hpp"
-class CglStored;
-
-/** DuplicateRow Cut Generator Class */
-class CglDuplicateRow : public CglCutGenerator {
-
-public:
-
-
- /**@name Generate Cuts */
- //@{
- /** Fix variables and find duplicate/dominated rows for the model of the
- solver interface, si.
-
- This is a very simple minded idea but I (JJF) am using it in a project so thought
- I might as well add it. It should really be called before first solve and I may
- modify CBC to allow for that.
-
- This is designed for problems with few rows and many integer variables where the rhs
- are <= or == and all coefficients and rhs are small integers.
-
- If effective rhs is K then we can fix all variables with coefficients > K to their lower bounds
- (effective rhs just means original with variables with nonzero lower bounds subtracted out).
-
- If one row is a subset of another and the effective rhs are same we can fix some variables
- and then the two rows are identical.
-
- The generator marks identical rows so can be taken out in solve
- */
- virtual void generateCuts( const OsiSolverInterface & si, OsiCuts & cs,
- const CglTreeInfo info = CglTreeInfo());
-private:
- /// Does work for modes 1,2
- void generateCuts12( const OsiSolverInterface & si, OsiCuts & cs,
- const CglTreeInfo info = CglTreeInfo());
- /// Does work for mode 4
- void generateCuts4( const OsiSolverInterface & si, OsiCuts & cs,
- const CglTreeInfo info = CglTreeInfo());
- /// Does work for mode 8
- void generateCuts8( const OsiSolverInterface & si, OsiCuts & cs,
- const CglTreeInfo info = CglTreeInfo());
-public:
- /** Fix variables and find duplicate/dominated rows for the model of the
- solver interface, si.
-
- This is a very simple minded idea but I (JJF) am using it in a project so thought
- I might as well add it. It should really be called before first solve and I may
- modify CBC to allow for that.
-
- This is designed for problems with few rows and many integer variables where the rhs
- are <= or == and all coefficients and rhs are small integers.
-
- If effective rhs is K then we can fix all variables with coefficients > K to their lower bounds
- (effective rhs just means original with variables with nonzero lower bounds subtracted out).
-
- If one row is a subset of another and the effective rhs are same we can fix some variables
- and then the two rows are identical.
-
- This version does deletions and fixings and may return stored cuts for
- dominated columns
- */
- CglStored * outDuplicates( OsiSolverInterface * solver);
-
- //@}
-
- /**@name Get information on size of problem */
- //@{
- /// Get duplicate row list, -1 means still in, -2 means out (all fixed), k>= means same as row k
- inline const int * duplicate() const
- { return duplicate_;}
- /// Size of dynamic program
- inline int sizeDynamic() const
- { return sizeDynamic_;}
- /// Number of rows in original problem
- inline int numberOriginalRows() const
- { return matrix_.getNumRows();}
- //@}
-
- /**@name Get information on size of problem */
- //@{
- /// logLevel
- inline int logLevel() const
- { return logLevel_;}
- inline void setLogLevel(int value)
- { logLevel_ = value;}
- //@}
-
-
- /**@name We only check for duplicates amongst rows with effective rhs <= this */
- //@{
- /// Get
- inline int maximumRhs() const
- { return maximumRhs_;}
- /// Set
- inline void setMaximumRhs(int value)
- { maximumRhs_=value;}
- //@}
-
- /**@name We only check for dominated amongst groups of columns whose size <= this */
- //@{
- /// Get
- inline int maximumDominated() const
- { return maximumDominated_;}
- /// Set
- inline void setMaximumDominated(int value)
- { maximumDominated_=value;}
- //@}
- /**@name gets and sets */
- //@{
- /// Get mode
- inline int mode() const
- { return mode_;}
- /// Set mode
- inline void setMode(int value)
- { mode_=value;}
- //@}
-
- /**@name Constructors and destructors */
- //@{
- /// Default constructor
- CglDuplicateRow ();
-
- /// Useful constructor
- CglDuplicateRow (OsiSolverInterface * solver);
-
- /// Copy constructor
- CglDuplicateRow (
- const CglDuplicateRow & rhs);
-
- /// Clone
- virtual CglCutGenerator * clone() const;
-
- /// Assignment operator
- CglDuplicateRow &
- operator=(
- const CglDuplicateRow& rhs);
-
- /// Destructor
- virtual
- ~CglDuplicateRow ();
- /// Create C++ lines to get to current state
- virtual std::string generateCpp( FILE * fp);
-
- /// This can be used to refresh any information
- virtual void refreshSolver(OsiSolverInterface * solver);
- //@}
-
-protected:
-
-
- // Protected member data
-
- /**@name Protected member data */
- //@{
- /// Matrix
- CoinPackedMatrix matrix_;
- /// Matrix by row
- CoinPackedMatrix matrixByRow_;
- /// Possible rhs (if 0 then not possible)
- int * rhs_;
- /// Marks duplicate rows
- int * duplicate_;
- /// To allow for <= rows
- int * lower_;
- /// Stored cuts if we found dominance cuts
- CglStored * storedCuts_;
- /// Check dominated columns if less than this number of candidates
- int maximumDominated_;
- /// Check duplicates if effective rhs <= this
- int maximumRhs_;
- /// Size of dynamic program
- int sizeDynamic_;
- /// 1 do rows, 2 do columns, 3 do both
- int mode_;
- /// Controls print out
- int logLevel_;
- //@}
-};
-#endif