Result: Double;
The Result property returns the value of linear constraints.
To determine value of linear constraint coefficients, use the ISlLinearConstraint.Value property.
To execute the example, add a link to the Stat system assembly.
Sub UserProc;
Var
LP: SmLinearProgramming;
Bound: ISlBoundaryRegion;
LCon1, LCon2: ISlLinearConstraint;
CF, Lb, Ub, LinC1, LinC2: Array[4] Of Double;
i, Res: Integer;
OptVal: Double;
Sol: Array Of Double;
Begin
LP := New SmLinearProgramming.Create;
CF[0] := 5; Lb[0] := 0; Ub[0] := 5; LinC1[0] := 2; LinC2[0] := 3;
CF[1] := -7; Lb[1] := 0; Ub[1] := 10; LinC1[1] := 4; LinC2[1] := 3;
CF[2] := 2; Lb[2] := 0; Ub[2] := 5; LinC1[2] := 1; LinC2[2] := 0;
CF[3] := -2; Lb[3] := 0; Ub[3] := 5; LinC1[3] := 0; LinC2[3] := 2;
LP.InitialApproximation.AutoCreate := True;
//Criterion function
LP.CriterionFunction := CF;
Bound := LP.Boundary;
//Lower and upper area borders
Bound.BoundaryLower := Lb;
Bound.BoundaryUpper := Ub;
//First linear constraint
LCon1 := LP.LinearConstraints.Add;
LCon1.Value := LinC1;
LCon1.BoundaryLower := -100;
LCon1.BoundaryUpper := 100;
// Second linear constraint
LCon2 := LP.LinearConstraints.Add;
LCon2.Value := LinC2;
LCon2.BoundaryLower := -100;
LCon2.BoundaryUpper := 90;
// Calculate model
Res := LP.Execute;
If Res <> 0 Then
Debug.WriteLine(LP.Errors);
Else
Debug.WriteLine("== Criterion function value ==");
OptVal := LP.OptimalFunctionValue;
Debug.WriteLine(OptVal.ToString);
Debug.WriteLine("== Solution ==");
Sol := LP.Solution;
For i := 0 To Sol.Length - 1 Do
Debug.WriteLine(i.ToString + " = " + Sol[i].ToString);
End For;
Debug.WriteLine("== Linear constraint values ==");
Debug.WriteLine("1. " + LCon1.Result.ToString);
Debug.WriteLine("2. " + LCon2.Result.ToString);
End If;
End Sub UserProc;
After executing the example the console window displays the solution, criterion function values corresponding to the found solution, and linear constraint values.
See also: