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/*
* Linear Solver Toolbox for Scilab using CLP library
* Authors :
Guru Pradeep Reddy
Bhanu Priya Sayal
* Optimizing (minimizing) the linear objective function having any number of
variables and linear constraints(equality/inequality).
*
*/
#ifndef __LinCLP_HPP__
#define __LinCLP_HPP__
#include"OsiSolverInterface.hpp"
#include "OsiClpSolverInterface.hpp"
#include "CoinPackedMatrix.hpp"
#include "CoinPackedVector.hpp"
class LinCLP
{
private:
int numVars_; //Number of variables
int numCons_; //Number of inequality constraints
double* objMatrix_[]; //Objective function vector
double* conMatrix_[]; //Inequality constraint matrix
double* conlb_[]; //Inequality constraint vector
double* conub_[]; //Equality constraint vector
double* lb_[]; //Lower bounds for all variables
double* ub_[]; //Upper bounds for all variables
double options_[]; //options for setting maximum iterations and writing mps and lp files
double* xValue_ = NULL; //Optimal value of variables
double objValue_ =0 ; //Optimal values of objective
double status_ = 0; //Return Status
double iterations_ = 0; //Number of iteration
double* reducedCost_ = NULL; //Reduced cost
double* dual_ = NULL; // Dual of the solution
public:
/*
* Constructor
*/
LinCLP(int numVars_ , int numCons_ ,double objMatrix_[] , double conMatrix_[] , double conlb_[] , double conub_[] ,double lb_[] , double ub_[], double options_[]);
virtual ~LinCLP(); //Destructor to free memory
const double* getX(); //Returns a pointer to matrix of size
//1*numVars with final values for the objective variables
double getObjVal(); //Returns the output of the final value of the objective
int returnStatus(); //Returns the status of the problem
double iterCount(); //Returns the iteration count
const double* getReducedCost(); //Returns a pointer to matrix of size
//1*numVars with values for lower dual vector
double* getDual(); //Returns a pointer to matrix of size
//1*numCons with values for dual vector
};
#endif __LinCLP_HPP__
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