/usr/include/coin/CoinSimpFactorization.hpp is in coinor-libcoinutils-dev 2.6.4-3.
This file is owned by root:root, with mode 0o644.
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// Copyright (C) 2008, International Business Machines
// Corporation and others. All Rights Reserved.
/*
This is a simple factorization of the LP Basis
*/
#ifndef CoinSimpFactorization_H
#define CoinSimpFactorization_H
#include <iostream>
#include <string>
#include <cassert>
#include "CoinFinite.hpp"
#include "CoinIndexedVector.hpp"
#include "CoinDenseFactorization.hpp"
class CoinPackedMatrix;
/// pointers used during factorization
class FactorPointers{
public:
double *rowMax;
int *firstRowKnonzeros;
int *prevRow;
int *nextRow;
int *firstColKnonzeros;
int *prevColumn;
int *nextColumn;
int *newCols;
//constructor
FactorPointers( int numRows, int numCols, int *UrowLengths_, int *UcolLengths_ );
// destructor
~ FactorPointers();
};
class CoinSimpFactorization : public CoinOtherFactorization {
friend void CoinSimpFactorizationUnitTest( const std::string & mpsDir );
public:
/**@name Constructors and destructor and copy */
//@{
/// Default constructor
CoinSimpFactorization ( );
/// Copy constructor
CoinSimpFactorization ( const CoinSimpFactorization &other);
/// Destructor
virtual ~CoinSimpFactorization ( );
/// = copy
CoinSimpFactorization & operator = ( const CoinSimpFactorization & other );
/// Clone
virtual CoinOtherFactorization * clone() const ;
//@}
/**@name Do factorization - public */
//@{
/// Gets space for a factorization
virtual void getAreas ( int numberRows,
int numberColumns,
CoinBigIndex maximumL,
CoinBigIndex maximumU );
/// PreProcesses column ordered copy of basis
virtual void preProcess ( );
/** Does most of factorization returning status
0 - OK
-99 - needs more memory
-1 - singular - use numberGoodColumns and redo
*/
virtual int factor ( );
/// Does post processing on valid factorization - putting variables on correct rows
virtual void postProcess(const int * sequence, int * pivotVariable);
/// Makes a non-singular basis by replacing variables
virtual void makeNonSingular(int * sequence, int numberColumns);
//@}
/**@name general stuff such as status */
//@{
/// Total number of elements in factorization
virtual inline int numberElements ( ) const {
return numberRows_*(numberColumns_+numberPivots_);
}
/// Returns maximum absolute value in factorization
double maximumCoefficient() const;
//@}
/**@name rank one updates which do exist */
//@{
/** Replaces one Column to basis,
returns 0=OK, 1=Probably OK, 2=singular, 3=no room
If checkBeforeModifying is true will do all accuracy checks
before modifying factorization. Whether to set this depends on
speed considerations. You could just do this on first iteration
after factorization and thereafter re-factorize
partial update already in U */
virtual int replaceColumn ( CoinIndexedVector * regionSparse,
int pivotRow,
double pivotCheck ,
bool checkBeforeModifying=false,
double acceptablePivot=1.0e-8);
//@}
/**@name various uses of factorization (return code number elements)
which user may want to know about */
//@{
/** Updates one column (FTRAN) from regionSparse2
Tries to do FT update
number returned is negative if no room
regionSparse starts as zero and is zero at end.
Note - if regionSparse2 packed on input - will be packed on output
*/
virtual int updateColumnFT ( CoinIndexedVector * regionSparse,
CoinIndexedVector * regionSparse2,
bool noPermute=false);
/** This version has same effect as above with FTUpdate==false
so number returned is always >=0 */
virtual int updateColumn ( CoinIndexedVector * regionSparse,
CoinIndexedVector * regionSparse2,
bool noPermute=false) const;
/// does FTRAN on two columns
virtual int updateTwoColumnsFT(CoinIndexedVector * regionSparse1,
CoinIndexedVector * regionSparse2,
CoinIndexedVector * regionSparse3,
bool noPermute=false);
/// does updatecolumn if save==true keeps column for replace column
int upColumn ( CoinIndexedVector * regionSparse,
CoinIndexedVector * regionSparse2,
bool noPermute=false, bool save=false) const;
/** Updates one column (BTRAN) from regionSparse2
regionSparse starts as zero and is zero at end
Note - if regionSparse2 packed on input - will be packed on output
*/
virtual int updateColumnTranspose ( CoinIndexedVector * regionSparse,
CoinIndexedVector * regionSparse2) const;
/// does updateColumnTranspose, the other is a wrapper
int upColumnTranspose ( CoinIndexedVector * regionSparse,
CoinIndexedVector * regionSparse2) const;
//@}
/// *** Below this user may not want to know about
/**@name various uses of factorization
which user may not want to know about (left over from my LP code) */
//@{
/// Get rid of all memory
inline void clearArrays()
{ gutsOfDestructor();}
/// Returns array to put basis indices in
inline int * indices() const
{ return reinterpret_cast<int *> (elements_+numberRows_*numberRows_);}
/// Returns permute in
virtual inline int * permute() const
{ return pivotRow_;}
//@}
/// The real work of destructor
void gutsOfDestructor();
/// The real work of constructor
void gutsOfInitialize();
/// The real work of copy
void gutsOfCopy(const CoinSimpFactorization &other);
/// calls factorization
void factorize(int numberOfRows,
int numberOfColumns,
const int colStarts[],
const int indicesRow[],
const double elements[]);
/// main loop of factorization
int mainLoopFactor (FactorPointers &pointers );
/// copies L by rows
void copyLbyRows();
/// copies U by columns
void copyUbyColumns();
/// finds a pivot element using Markowitz count
int findPivot(FactorPointers &pointers, int &r, int &s, bool &ifSlack);
/// finds a pivot in a shortest column
int findPivotShCol(FactorPointers &pointers, int &r, int &s);
/// finds a pivot in the first column available
int findPivotSimp(FactorPointers &pointers, int &r, int &s);
/// does Gauss elimination
void GaussEliminate(FactorPointers &pointers, int &r, int &s);
/// finds short row that intersects a given column
int findShortRow(const int column, const int length, int &minRow,
int &minRowLength, FactorPointers &pointers);
/// finds short column that intersects a given row
int findShortColumn(const int row, const int length, int &minCol,
int &minColLength, FactorPointers &pointers);
/// finds maximum absolute value in a row
double findMaxInRrow(const int row, FactorPointers &pointers);
/// does pivoting
void pivoting(const int pivotRow, const int pivotColumn,
const double invPivot, FactorPointers &pointers);
/// part of pivoting
void updateCurrentRow(const int pivotRow, const int row,
const double multiplier, FactorPointers &pointers,
int &newNonZeros);
/// allocates more space for L
void increaseLsize();
/// allocates more space for a row of U
void increaseRowSize(const int row, const int newSize);
/// allocates more space for a column of U
void increaseColSize(const int column, const int newSize, const bool b);
/// allocates more space for rows of U
void enlargeUrow(const int numNewElements);
/// allocates more space for columns of U
void enlargeUcol(const int numNewElements, const bool b);
/// finds a given row in a column
int findInRow(const int row, const int column);
/// finds a given column in a row
int findInColumn(const int column, const int row);
/// declares a row inactive
void removeRowFromActSet(const int row, FactorPointers &pointers);
/// declares a column inactive
void removeColumnFromActSet(const int column, FactorPointers &pointers);
/// allocates space for U
void allocateSpaceForU();
/// allocates several working arrays
void allocateSomeArrays();
/// initializes some numbers
void initialSomeNumbers();
/// solves L x = b
void Lxeqb(double *b) const;
/// same as above but with two rhs
void Lxeqb2(double *b1, double *b2) const;
/// solves U x = b
void Uxeqb(double *b, double *sol) const;
/// same as above but with two rhs
void Uxeqb2(double *b1, double *sol1, double *sol2, double *b2) const;
/// solves x L = b
void xLeqb(double *b) const;
/// solves x U = b
void xUeqb(double *b, double *sol) const;
/// updates factorization after a Simplex iteration
int LUupdate(int newBasicCol);
/// creates a new eta vector
void newEta(int row, int numNewElements);
/// makes a copy of row permutations
void copyRowPermutations();
/// solves H x = b, where H is a product of eta matrices
void Hxeqb(double *b) const;
/// same as above but with two rhs
void Hxeqb2(double *b1, double *b2) const;
/// solves x H = b
void xHeqb(double *b) const;
/// does FTRAN
void ftran(double *b, double *sol, bool save) const;
/// same as above but with two columns
void ftran2(double *b1, double *sol1, double *b2, double *sol2) const;
/// does BTRAN
void btran(double *b, double *sol) const;
///---------------------------------------
//@}
protected:
/** Returns accuracy status of replaceColumn
returns 0=OK, 1=Probably OK, 2=singular */
int checkPivot(double saveFromU, double oldPivot) const;
////////////////// data //////////////////
protected:
/**@name data */
//@{
/// work array (should be initialized to zero)
double *denseVector_;
/// work array
double *workArea2_;
/// work array
double *workArea3_;
/// array of labels (should be initialized to zero)
int *vecLabels_;
/// array of indices
int *indVector_;
/// auxiliary vector
double *auxVector_;
/// auxiliary vector
int *auxInd_;
/// vector to keep for LUupdate
double *vecKeep_;
/// indices of this vector
int *indKeep_;
/// number of nonzeros
mutable int keepSize_;
/// Starts of the rows of L
int *LrowStarts_;
/// Lengths of the rows of L
int *LrowLengths_;
/// L by rows
double *Lrows_;
/// indices in the rows of L
int *LrowInd_;
/// Size of Lrows_;
int LrowSize_;
/// Capacity of Lrows_
int LrowCap_;
/// Starts of the columns of L
int *LcolStarts_;
/// Lengths of the columns of L
int *LcolLengths_;
/// L by columns
double *Lcolumns_;
/// indices in the columns of L
int *LcolInd_;
/// numbers of elements in L
int LcolSize_;
/// maximum capacity of L
int LcolCap_;
/// Starts of the rows of U
int *UrowStarts_;
/// Lengths of the rows of U
int *UrowLengths_;
#ifdef COIN_SIMP_CAPACITY
/// Capacities of the rows of U
int *UrowCapacities_;
#endif
/// U by rows
double *Urows_;
/// Indices in the rows of U
int *UrowInd_;
/// maximum capacity of Urows
int UrowMaxCap_;
/// number of used places in Urows
int UrowEnd_;
/// first row in U
int firstRowInU_;
/// last row in U
int lastRowInU_;
/// previous row in U
int *prevRowInU_;
/// next row in U
int *nextRowInU_;
/// Starts of the columns of U
int *UcolStarts_;
/// Lengths of the columns of U
int *UcolLengths_;
#ifdef COIN_SIMP_CAPACITY
/// Capacities of the columns of U
int *UcolCapacities_;
#endif
/// U by columns
double *Ucolumns_;
/// Indices in the columns of U
int *UcolInd_;
/// previous column in U
int *prevColInU_;
/// next column in U
int *nextColInU_;
/// first column in U
int firstColInU_;
/// last column in U
int lastColInU_;
/// maximum capacity of Ucolumns_
int UcolMaxCap_;
/// last used position in Ucolumns_
int UcolEnd_;
/// indicator of slack variables
int *colSlack_;
/// inverse values of the elements of diagonal of U
double *invOfPivots_;
/// permutation of columns
int *colOfU_;
/// position of column after permutation
int *colPosition_;
/// permutations of rows
int *rowOfU_;
/// position of row after permutation
int *rowPosition_;
/// permutations of rows during LUupdate
int *secRowOfU_;
/// position of row after permutation during LUupdate
int *secRowPosition_;
/// position of Eta vector
int *EtaPosition_;
/// Starts of eta vectors
int *EtaStarts_;
/// Lengths of eta vectors
int *EtaLengths_;
/// columns of eta vectors
int *EtaInd_;
/// elements of eta vectors
double *Eta_;
/// number of elements in Eta_
int EtaSize_;
/// last eta row
int lastEtaRow_;
/// maximum number of eta vectors
int maxEtaRows_;
/// Capacity of Eta_
int EtaMaxCap_;
/// minimum storage increase
int minIncrease_;
/// maximum size for the diagonal of U after update
double updateTol_;
/// do Shul heuristic
bool doSuhlHeuristic_;
/// maximum of U
double maxU_;
/// bound on the growth rate
double maxGrowth_;
/// maximum of A
double maxA_;
/// maximum number of candidates for pivot
int pivotCandLimit_;
/// number of slacks in basis
int numberSlacks_;
/// number of slacks in irst basis
int firstNumberSlacks_;
//@}
};
#endif
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