// Copyright (C) 2003, International Business Machines
// Corporation and others. All Rights Reserved.
#ifndef ClpGubMatrix_H
#define ClpGubMatrix_H
#include "CoinPragma.hpp"
#include "ClpPackedMatrix.hpp"
class ClpSimplex;
/** This implements Gub rows plus a ClpPackedMatrix.
There will be a version using ClpPlusMinusOne matrix but
there is no point doing one with ClpNetworkMatrix (although
an embedded network is attractive).
*/
class ClpGubMatrix : public ClpPackedMatrix {
public:
/**@name Main functions provided */
//@{
/** Returns a new matrix in reverse order without gaps (GUB wants NULL) */
virtual ClpMatrixBase * reverseOrderedCopy() const;
/// Returns number of elements in column part of basis
virtual CoinBigIndex countBasis(ClpSimplex * model,
const int * whichColumn,
int numberRowBasic,
int & numberColumnBasic);
/// Fills in column part of basis
virtual void fillBasis(ClpSimplex * model,
const int * whichColumn,
int & numberColumnBasic,
int * row, int * start,
int * rowCount, int * columnCount,
double * element);
/** Unpacks a column into an CoinIndexedvector
*/
virtual void unpack(const ClpSimplex * model,CoinIndexedVector * rowArray,
int column) const ;
/** Unpacks a column into an CoinIndexedvector
** in packed foramt
Note that model is NOT const. Bounds and objective could
be modified if doing column generation (just for this variable) */
virtual void unpackPacked(ClpSimplex * model,
CoinIndexedVector * rowArray,
int column) const;
/** Adds multiple of a column into an CoinIndexedvector
You can use quickAdd to add to vector */
virtual void add(const ClpSimplex * model,CoinIndexedVector * rowArray,
int column, double multiplier) const ;
/** Adds multiple of a column into an array */
virtual void add(const ClpSimplex * model,double * array,
int column, double multiplier) const;
/// Partial pricing
virtual void partialPricing(ClpSimplex * model, double start, double end,
int & bestSequence, int & numberWanted);
/// Returns number of hidden rows e.g. gub
virtual int hiddenRows() const;
//@}
/**@name Matrix times vector methods */
//@{
using ClpPackedMatrix::transposeTimes ;
/** Return <code>x * scalar * A + y</code> in <code>z</code>.
Can use y as temporary array (will be empty at end)
Note - If x packed mode - then z packed mode
Squashes small elements and knows about ClpSimplex */
virtual void transposeTimes(const ClpSimplex * model, double scalar,
const CoinIndexedVector * x,
CoinIndexedVector * y,
CoinIndexedVector * z) const;
/** Return <code>x * scalar * A + y</code> in <code>z</code>.
Can use y as temporary array (will be empty at end)
Note - If x packed mode - then z packed mode
Squashes small elements and knows about ClpSimplex.
This version uses row copy*/
virtual void transposeTimesByRow(const ClpSimplex * model, double scalar,
const CoinIndexedVector * x,
CoinIndexedVector * y,
CoinIndexedVector * z) const;
/** Return <code>x *A</code> in <code>z</code> but
just for indices in y.
Note - z always packed mode */
virtual void subsetTransposeTimes(const ClpSimplex * model,
const CoinIndexedVector * x,
const CoinIndexedVector * y,
CoinIndexedVector * z) const;
/** expands an updated column to allow for extra rows which the main
solver does not know about and returns number added if mode 0.
If mode 1 deletes extra entries
This active in Gub
*/
virtual int extendUpdated(ClpSimplex * model,CoinIndexedVector * update,int mode);
/**
mode=0 - Set up before "update" and "times" for primal solution using extended rows
mode=1 - Cleanup primal solution after "times" using extended rows.
mode=2 - Check (or report on) primal infeasibilities
*/
virtual void primalExpanded(ClpSimplex * model,int mode);
/**
mode=0 - Set up before "updateTranspose" and "transposeTimes" for duals using extended
updates array (and may use other if dual values pass)
mode=1 - Update dual solution after "transposeTimes" using extended rows.
mode=2 - Compute all djs and compute key dual infeasibilities
mode=3 - Report on key dual infeasibilities
mode=4 - Modify before updateTranspose in partial pricing
*/
virtual void dualExpanded(ClpSimplex * model,CoinIndexedVector * array,
double * other,int mode);
/**
mode=0 - Create list of non-key basics in pivotVariable_ using
number as numberBasic in and out
mode=1 - Set all key variables as basic
mode=2 - return number extra rows needed, number gives maximum number basic
mode=3 - before replaceColumn
mode=4 - return 1 if can do primal, 2 if dual, 3 if both
mode=5 - save any status stuff (when in good state)
mode=6 - restore status stuff
mode=7 - flag given variable (normally sequenceIn)
mode=8 - unflag all variables
mode=9 - synchronize costs
mode=10 - return 1 if there may be changing bounds on variable (column generation)
mode=11 - make sure set is clean (used when a variable rejected - but not flagged)
mode=12 - after factorize but before permute stuff
mode=13 - at end of simplex to delete stuff
*/
virtual int generalExpanded(ClpSimplex * model,int mode,int & number);
/**
update information for a pivot (and effective rhs)
*/
virtual int updatePivot(ClpSimplex * model,double oldInValue, double oldOutValue);
/// Sets up an effective RHS and does gub crash if needed
virtual void useEffectiveRhs(ClpSimplex * model,bool cheapest=true);
/** Returns effective RHS offset if it is being used. This is used for long problems
or big gub or anywhere where going through full columns is
expensive. This may re-compute */
virtual double * rhsOffset(ClpSimplex * model,bool forceRefresh=false,
bool check=false);
/** This is local to Gub to allow synchronization:
mode=0 when status of basis is good
mode=1 when variable is flagged
mode=2 when all variables unflagged (returns number flagged)
mode=3 just reset costs (primal)
mode=4 correct number of dual infeasibilities
mode=5 return 4 if time to re-factorize
mode=6 - return 1 if there may be changing bounds on variable (column generation)
mode=7 - do extra restores for column generation
mode=8 - make sure set is clean
mode=9 - adjust lower, upper on set by incoming
*/
virtual int synchronize(ClpSimplex * model,int mode);
/// Correct sequence in and out to give true value
virtual void correctSequence(const ClpSimplex * model,int & sequenceIn, int & sequenceOut) ;
//@}
/**@name Constructors, destructor */
//@{
/** Default constructor. */
ClpGubMatrix();
/** Destructor */
virtual ~ClpGubMatrix();
//@}
/**@name Copy method */
//@{
/** The copy constructor. */
ClpGubMatrix(const ClpGubMatrix&);
/** The copy constructor from an CoinPackedMatrix. */
ClpGubMatrix(const CoinPackedMatrix&);
/** Subset constructor (without gaps). Duplicates are allowed
and order is as given */
ClpGubMatrix (const ClpGubMatrix & wholeModel,
int numberRows, const int * whichRows,
int numberColumns, const int * whichColumns);
ClpGubMatrix (const CoinPackedMatrix & wholeModel,
int numberRows, const int * whichRows,
int numberColumns, const int * whichColumns);
/** This takes over ownership (for space reasons) */
ClpGubMatrix(CoinPackedMatrix * matrix);
/** This takes over ownership (for space reasons) and is the
real constructor*/
ClpGubMatrix(ClpPackedMatrix * matrix, int numberSets,
const int * start, const int * end,
const double * lower, const double * upper,
const unsigned char * status=NULL);
ClpGubMatrix& operator=(const ClpGubMatrix&);
/// Clone
virtual ClpMatrixBase * clone() const ;
/** Subset clone (without gaps). Duplicates are allowed
and order is as given */
virtual ClpMatrixBase * subsetClone (
int numberRows, const int * whichRows,
int numberColumns, const int * whichColumns) const ;
/** redoes next_ for a set. */
void redoSet(ClpSimplex * model,int newKey, int oldKey, int iSet);
//@}
/**@name gets and sets */
//@{
/// Status
inline ClpSimplex::Status getStatus(int sequence) const
{return static_cast<ClpSimplex::Status> (status_[sequence]&7);}
inline void setStatus(int sequence, ClpSimplex::Status status)
{
unsigned char & st_byte = status_[sequence];
st_byte &= ~7;
st_byte |= status;
}
/// To flag a variable
inline void setFlagged( int sequence)
{
status_[sequence] |= 64;
}
inline void clearFlagged( int sequence)
{
status_[sequence] &= ~64;
}
inline bool flagged(int sequence) const
{return ((status_[sequence]&64)!=0);}
/// To say key is above ub
inline void setAbove( int sequence)
{
unsigned char iStat = status_[sequence];
iStat &= ~24;
status_[sequence] = iStat|16;
}
/// To say key is feasible
inline void setFeasible( int sequence)
{
unsigned char iStat = status_[sequence];
iStat &= ~24;
status_[sequence] = iStat|8;
}
/// To say key is below lb
inline void setBelow( int sequence)
{
unsigned char iStat = status_[sequence];
iStat &= ~24;
status_[sequence] = iStat;
}
inline double weight( int sequence) const
{
int iStat = status_[sequence]&31;
iStat = iStat>>3;
return (double) (iStat-1);
}
/// Starts
inline int * start() const
{ return start_;}
/// End
inline int * end() const
{ return end_;}
/// Lower bounds on sets
inline double * lower() const
{ return lower_;}
/// Upper bounds on sets
inline double * upper() const
{ return upper_;}
/// Key variable of set
inline int * keyVariable() const
{ return keyVariable_;}
/// Backward pointer to set number
inline int * backward() const
{ return backward_;}
/// Number of sets (gub rows)
inline int numberSets() const
{ return numberSets_;}
/// Switches off dj checking each factorization (for BIG models)
void switchOffCheck();
//@}
protected:
/**@name Data members
The data members are protected to allow access for derived classes. */
//@{
/// Sum of dual infeasibilities
double sumDualInfeasibilities_;
/// Sum of primal infeasibilities
double sumPrimalInfeasibilities_;
/// Sum of Dual infeasibilities using tolerance based on error in duals
double sumOfRelaxedDualInfeasibilities_;
/// Sum of Primal infeasibilities using tolerance based on error in primals
double sumOfRelaxedPrimalInfeasibilities_;
/// Infeasibility weight when last full pass done
double infeasibilityWeight_;
/// Starts
int * start_;
/// End
int * end_;
/// Lower bounds on sets
double * lower_;
/// Upper bounds on sets
double * upper_;
/// Status of slacks
mutable unsigned char * status_;
/// Saved status of slacks
unsigned char * saveStatus_;
/// Saved key variables
int * savedKeyVariable_;
/// Backward pointer to set number
int * backward_;
/// Backward pointer to pivot row !!!
int * backToPivotRow_;
/// Change in costs for keys
double * changeCost_;
/// Key variable of set
mutable int * keyVariable_;
/** Next basic variable in set - starts at key and end with -(set+1).
Now changes to -(nonbasic+1).
next_ has extra space for 2* longest set */
mutable int * next_;
/// Backward pointer to index in CoinIndexedVector
int * toIndex_;
// Reverse pointer from index to set
int * fromIndex_;
/// Pointer back to model
ClpSimplex * model_;
/// Number of dual infeasibilities
int numberDualInfeasibilities_;
/// Number of primal infeasibilities
int numberPrimalInfeasibilities_;
/** If pricing will declare victory (i.e. no check every factorization).
-1 - always check
0 - don't check
1 - in don't check mode but looks optimal
*/
int noCheck_;
/// Number of sets (gub rows)
int numberSets_;
/// Number in vector without gub extension
int saveNumber_;
/// Pivot row of possible next key
int possiblePivotKey_;
/// Gub slack in (set number or -1)
int gubSlackIn_;
/// First gub variables (same as start_[0] at present)
int firstGub_;
/// last gub variable (same as end_[numberSets_-1] at present)
int lastGub_;
/** type of gub - 0 not contiguous, 1 contiguous
add 8 bit to say no ubs on individual variables */
int gubType_;
//@}
};
#endif
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