Class MILPSolverCLP

Defined in File solver-clp.h

Inheritance Relationships

Base Type

public MILPSolver (Class MILPSolver)

Class Documentation

class MILPSolverCLP : public MILPSolver 

Public Functions

MILPSolverCLP()

virtual ~MILPSolverCLP()

virtual MILPSolver *clone()

virtual double getInfinity()

virtual int getNumCols()

virtual int getNumRows()

virtual void setColName(const int &var, const string &asString)

virtual string getColName(const int &var)

virtual void setRowName(const int &cons, const string &asString)

virtual string getRowName(const int &cons)

virtual double getColUpper(const int &var)

virtual void setColUpper(const int &var, const double &b)

virtual double getColLower(const int &var)

virtual void setColLower(const int &var, const double &b)

virtual void setColBounds(const int &var, const double &lb, const double &ub)

virtual bool isColumnInteger(const int &var)

Ascertain whether the given column is an integer.

Parameters:: c – A column index
Returns:: true if column c is an integer.

virtual double getRowUpper(const int &var)

virtual void setRowUpper(const int &c, const double &b)

virtual double getRowLower(const int &var)

virtual void setRowLower(const int &c, const double &b)

virtual void addCol(const vector<pair<int, double>> &entries, const double &lb, const double &ub, const ColumnType &type): Functions for the columns (variables) of the model.

virtual void addRow(const vector<pair<int, double>> &entries, const double &lb, const double &ub): Functions for the rows (constraints) of the model.

virtual void setMaximiseObjective(const bool &maxim)

Objective function calls.

Specify that the calls to solve() should maximise the given objective, rather than minimising.

Parameters:: maxim – If true, the objective will be maximised.

virtual void clearObjective(): Clear the objective coefficients (set each to 0).

virtual void setObjective(double *const entries)

Set the objective function according to the vector of weights given.

Parameters:: entries – An array, size equal to getNumCols() containing the linear coefficient for each column, to use in the objective.

virtual void setObjCoeff(const int &var, const double &w)

Set the linear coefficient in the objective function of the given column.

Parameters:

var – The column whose coefficient is to be changed
w – The coefficient for column <codevar

virtual void writeLp(const string &filename): Miscellaneous functions.

virtual bool solve(const bool &skipPresolve): Solving, and accessing solutions.

virtual const double *getSolution()

virtual const double *getSolutionRows()

Obtain the value of the row in the solution.

Returns:: An array containing getNumRows() values, one for each row.

virtual const double *getPartialSolution(const int &from, const int &to)

Obtain the solution values of a subset of the columns in the LP.

Parameters:

from – The start column index of the range to return (inclusive)
to – The end column index of the range to return (exclusive)

Returns:

A pointer to an array, where index 0 contains the value of the variable from etc.

virtual double getObjValue(): Return the computed value of the objective function.

virtual void getRow(const int &i, vector<pair<int, double>> &entries)

Get a row from the LP, returning the coefficients it contains.

Parameters:

i – The index of the row to get
entries – A reference to a vector of int,double pairs which, after calling the method, will contain the column indices and coefficients of row i of the LP.

virtual bool supportsQuadratic() const

virtual void hush(): Suppress all output from the solver