LPSolver.h

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#pragma once
 
#include <ogdf/basic/Array.h>
#include <ogdf/basic/basic.h>
 
#include <ogdf/external/coin.h>
 
namespace ogdf {
 
class OGDF_EXPORT LPSolver {
public:
    enum class OptimizationGoal { Minimize, Maximize };
    enum class Status { Optimal, Infeasible, Unbounded };
 
    // Constructor
    LPSolver();
 
    ~LPSolver() { delete osi; }
 
    double infinity() const;
 
    // Call of LP solver
    //
    // Input is an optimization goal, an objective function, a matrix in sparse format, an
    // equation-sense, and a right-hand side.
    // The arrays have to be allocated as follows:
    //
    // double obj [numCols]
    // int    matrixBegin [numCols]
    // int    matrixCount [numCols]
    // int    matrixIndex [numNonzeroes]
    // double matrixValue [numNonzeroes]
    // double rightHandSide [numRows]
    // char   equationSense [numRows]
    // double lowerBound [numCols]
    // double upperBound [numCols]
    // double x [numCols]
    //
    // The return value indicates the status of the solution. If an optimum solitions has
    // been found, the result is Optimal
 
    Status optimize(OptimizationGoal goal, // goal of optimization (minimize or maximize)
            Array<double>& obj, // objective function vector
            Array<int>& matrixBegin, // matrixBegin[i] = begin of column i
            Array<int>& matrixCount, // matrixCount[i] = number of nonzeroes in column i
            Array<int>& matrixIndex, // matrixIndex[n] = index of matrixValue[n] in its column
            Array<double>& matrixValue, // matrixValue[n] = non-zero value in matrix
            Array<double>& rightHandSide, // right-hand side of LP constraints
            Array<char>& equationSense, // 'E' ==   'G' >=   'L' <=
            Array<double>& lowerBound, // lower bound of x[i]
            Array<double>& upperBound, // upper bound of x[i]
            double& optimum, // optimum value of objective function (if result is Optimal)
            Array<double>& x // x-vector of optimal solution (if result is Optimal)
    );
 
    bool checkFeasibility(const Array<int>& matrixBegin, // matrixBegin[i] = begin of column i
            const Array<int>& matrixCount, // matrixCount[i] = number of nonzeroes in column i
            const Array<int>& matrixIndex, // matrixIndex[n] = index of matrixValue[n] in its column
            const Array<double>& matrixValue, // matrixValue[n] = non-zero value in matrix
            const Array<double>& rightHandSide, // right-hand side of LP constraints
            const Array<char>& equationSense, // 'E' ==   'G' >=   'L' <=
            const Array<double>& lowerBound, // lower bound of x[i]
            const Array<double>& upperBound, // upper bound of x[i]
            const Array<double>& x // x-vector of optimal solution (if result is Optimal)
    ) const;
 
private:
    OsiSolverInterface* osi;
};
 
 
}