| activated() const | ClpObjective | [inline] |
| activated_ | ClpObjective | [protected] |
| clone() const =0 | ClpObjective | [pure virtual] |
| ClpObjective() | ClpObjective | |
| ClpObjective(const ClpObjective &) | ClpObjective | |
| deleteSome(int numberToDelete, const int *which)=0 | ClpObjective | [pure virtual] |
| gradient(const ClpSimplex *model, const double *solution, double &offset, bool refresh, int includeLinear=2)=0 | ClpObjective | [pure virtual] |
| markNonlinear(char *which) | ClpObjective | [virtual] |
| newXValues() | ClpObjective | [inline, virtual] |
| nonlinearOffset() const | ClpObjective | [inline] |
| objectiveValue(const ClpSimplex *model, const double *solution) const =0 | ClpObjective | [pure virtual] |
| offset_ | ClpObjective | [protected] |
| operator=(const ClpObjective &rhs) | ClpObjective | |
| reallyScale(const double *columnScale)=0 | ClpObjective | [pure virtual] |
| reducedGradient(ClpSimplex *model, double *region, bool useFeasibleCosts)=0 | ClpObjective | [pure virtual] |
| resize(int newNumberColumns)=0 | ClpObjective | [pure virtual] |
| setActivated(int value) | ClpObjective | [inline] |
| stepLength(ClpSimplex *model, const double *solution, const double *change, double maximumTheta, double ¤tObj, double &predictedObj, double &thetaObj)=0 | ClpObjective | [pure virtual] |
| subsetClone(int numberColumns, const int *whichColumns) const | ClpObjective | [virtual] |
| type() | ClpObjective | [inline] |
| type_ | ClpObjective | [protected] |
| ~ClpObjective() | ClpObjective | [virtual] |