ClpLinearObjective.hpp
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1 /* $Id: ClpLinearObjective.hpp 1665 2011-01-04 17:55:54Z lou $ */
2 // Copyright (C) 2003, International Business Machines
3 // Corporation and others. All Rights Reserved.
4 // This code is licensed under the terms of the Eclipse Public License (EPL).
5 
6 #ifndef ClpLinearObjective_H
7 #define ClpLinearObjective_H
8 
9 #include "ClpObjective.hpp"
10 
11 //#############################################################################
12 
18 
19 public:
20 
22 
23 
28  virtual double * gradient(const ClpSimplex * model,
29  const double * solution, double & offset, bool refresh,
30  int includeLinear = 2);
33  virtual double reducedGradient(ClpSimplex * model, double * region,
34  bool useFeasibleCosts);
41  virtual double stepLength(ClpSimplex * model,
42  const double * solution,
43  const double * change,
44  double maximumTheta,
45  double & currentObj,
46  double & predictedObj,
47  double & thetaObj);
49  virtual double objectiveValue(const ClpSimplex * model, const double * solution) const ;
51  virtual void resize(int newNumberColumns) ;
53  virtual void deleteSome(int numberToDelete, const int * which) ;
55  virtual void reallyScale(const double * columnScale) ;
56 
58 
59 
61 
64 
66  ClpLinearObjective(const double * objective, int numberColumns);
67 
73  ClpLinearObjective (const ClpLinearObjective &rhs, int numberColumns,
74  const int * whichColumns) ;
75 
78 
80  virtual ~ClpLinearObjective ();
81 
83  virtual ClpObjective * clone() const;
87  virtual ClpObjective * subsetClone (int numberColumns,
88  const int * whichColumns) const;
89 
91 
92  //---------------------------------------------------------------------------
93 
94 private:
97  double * objective_;
101 };
102 
103 #endif
virtual ClpObjective * subsetClone(int numberColumns, const int *whichColumns) const
Subset clone.
Linear Objective Class.
virtual double reducedGradient(ClpSimplex *model, double *region, bool useFeasibleCosts)
Returns reduced gradient.Returns an offset (to be added to current one).
Objective Abstract Base Class.
int numberColumns_
number of columns
virtual void deleteSome(int numberToDelete, const int *which)
Delete columns in objective.
virtual ClpObjective * clone() const
Clone.
virtual double * gradient(const ClpSimplex *model, const double *solution, double &offset, bool refresh, int includeLinear=2)
Returns objective coefficients.
ClpLinearObjective()
Default Constructor.
virtual double objectiveValue(const ClpSimplex *model, const double *solution) const
Return objective value (without any ClpModel offset) (model may be NULL)
This solves LPs using the simplex method.
Definition: ClpSimplex.hpp:70
ClpLinearObjective & operator=(const ClpLinearObjective &rhs)
Assignment operator.
virtual void reallyScale(const double *columnScale)
Scale objective.
virtual double stepLength(ClpSimplex *model, const double *solution, const double *change, double maximumTheta, double &currentObj, double &predictedObj, double &thetaObj)
Returns step length which gives minimum of objective for solution + theta * change vector up to maxim...
virtual void resize(int newNumberColumns)
Resize objective.
double * objective_
number of columns
virtual ~ClpLinearObjective()
Destructor.