Interface to a linear programming solver object. More...

Public Member Functions
int	LinSolveRaw (int n, ref double[,] a, int m, ref double[,] b)
	Linear equation solver, given matrix a(n+1, n+1) and m vectors in the matrix form b(m+1,n+1), the solver returns the inverse matrix of a in a and the solution of a * x = b[i] in the vectors b[i] respectively. The return values are OK = 0, OPTI_ERROR_NOT_LICENSED = -1, OPTI_ERROR_SINGULAR_MATRIX1 = -2, OPTI_ERROR_SINGULAR_MATRIX2 = -3.
int	SimplexRaw (int n, ref double[,] a, int m, int m1, int m2, int m3, ref double[] x)
	Simplex raw algorithm, n is the number of unknowns x[i], m the number of constraints, m1 the "smaller or equal than", m2 the "greater or equal than" and m3 the "equal" constraints. The optimal values x[i] >= 0 are given as result. The matrix a has to be set up as tableau (m+3, n+2) with maximization objective first and m1, m2, m3 next in this order. The return values are OK = 0, OPTI_ERROR_NOT_LICENSED = -1, OPTI_ERROR_UNBOUNDED_OBJECTIVE_FUNCTION = -2, OPTI_ERROR_NO_SOLUTION_STATISFY_CONSTRAINTS = -3, OPTI_ERROR_BAD_INPUT_CONSTRAINTS_COUNT = -4, OPTI_ERROR_BAD_INPUT_TABLEAU = -5.

Properties
string	LicenseKey `[get, set]`
	To input a Developer or Developer Deploy license string, when read the hardware or software license is stated.

Detailed Description

Interface to a linear programming solver object.

Member Function Documentation

◆ LinSolveRaw()

int SiMoLP.ILP.LinSolveRaw	(	int	n,
		ref double	a[,],
		int	m,
		ref double	b[,] )

Linear equation solver, given matrix a(n+1, n+1) and m vectors in the matrix form b(m+1,n+1), the solver returns the inverse matrix of a in a and the solution of a * x = b[i] in the vectors b[i] respectively. The return values are OK = 0, OPTI_ERROR_NOT_LICENSED = -1, OPTI_ERROR_SINGULAR_MATRIX1 = -2, OPTI_ERROR_SINGULAR_MATRIX2 = -3.

◆ SimplexRaw()

int SiMoLP.ILP.SimplexRaw	(	int	n,
		ref double	a[,],
		int	m,
		int	m1,
		int	m2,
		int	m3,
		ref double[]	x )

Simplex raw algorithm, n is the number of unknowns x[i], m the number of constraints, m1 the "smaller or equal than", m2 the "greater or equal than" and m3 the "equal" constraints. The optimal values x[i] >= 0 are given as result. The matrix a has to be set up as tableau (m+3, n+2) with maximization objective first and m1, m2, m3 next in this order. The return values are OK = 0, OPTI_ERROR_NOT_LICENSED = -1, OPTI_ERROR_UNBOUNDED_OBJECTIVE_FUNCTION = -2, OPTI_ERROR_NO_SOLUTION_STATISFY_CONSTRAINTS = -3, OPTI_ERROR_BAD_INPUT_CONSTRAINTS_COUNT = -4, OPTI_ERROR_BAD_INPUT_TABLEAU = -5.

Property Documentation

◆ LicenseKey

string SiMoLP.ILP.LicenseKey

getset

To input a Developer or Developer Deploy license string, when read the hardware or software license is stated.