// The following method populates the problem with data for the
// following linear program:
//
// Maximize
// x1 + 2 x2 + 3 x3
// Subject To
// - x1 + x2 + x3 <= 20
// x1 - 3 x2 + x3 <= 30
// Bounds
// 0 <= x1 <= 40
// End
//
// using the IModeler API
internal static void PopulateByRow(IModeler model,
INumVar[][] var,
IRange[][] rng)
{
double[] lb = { 0.0, 0.0, 0.0 };
double[] ub = { 40.0, System.Double.MaxValue, System.Double.MaxValue };
string[] varname = { "x1", "x2", "x3" };
INumVar[] x = model.NumVarArray(3, lb, ub, varname);
var[0] = x;
double[] objvals = { 1.0, 2.0, 3.0 };
model.AddMaximize(model.ScalProd(x, objvals));
rng[0] = new IRange[2];
rng[0][0] = model.AddLe(model.Sum(model.Prod(-1.0, x[0]),
model.Prod(1.0, x[1]),
model.Prod(1.0, x[2])), 20.0, "c1");
rng[0][1] = model.AddLe(model.Sum(model.Prod(1.0, x[0]),
model.Prod(-3.0, x[1]),
model.Prod(1.0, x[2])), 30.0, "c2");
}
// The following method populates the problem with data for the
// following linear program:
//
// Maximize
// x1 + 2 x2 + 3 x3
// Subject To
// - x1 + x2 + x3 <= 20
// x1 - 3 x2 + x3 <= 30
// Bounds
// 0 <= x1 <= 40
// End
//
// using the IModeler API
internal static void PopulateByRow(IModeler model,
INumVar[][] var,
IRange[][] rng)
{
double[] lb = {0.0, 0.0, 0.0};
double[] ub = {40.0, System.Double.MaxValue, System.Double.MaxValue};
string[] varname = {"x1", "x2", "x3"};
INumVar[] x = model.NumVarArray(3, lb, ub, varname);
var[0] = x;
double[] objvals = {1.0, 2.0, 3.0};
model.AddMaximize(model.ScalProd(x, objvals));
rng[0] = new IRange[2];
rng[0][0] = model.AddLe(model.Sum(model.Prod(-1.0, x[0]),
model.Prod( 1.0, x[1]),
model.Prod( 1.0, x[2])), 20.0, "c1");
rng[0][1] = model.AddLe(model.Sum(model.Prod( 1.0, x[0]),
model.Prod(-3.0, x[1]),
model.Prod( 1.0, x[2])), 30.0, "c2");
}