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authorHarpreet2016-09-03 00:34:27 +0530
committerHarpreet2016-09-03 00:34:27 +0530
commit4b64cf486f5c999fd8167758cae27839f3b50848 (patch)
treed9d06639fb7fa61aef59be0363655e4747105ec7 /newstructure/thirdparty/linux/include/coin/CglDuplicateRow.hpp
parentd19794fb80a271a4c885ed90f97cfc12baa012f2 (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