public void GoldfarbIdnaniParseTest()
{
var s = CultureInfo.CurrentCulture.NumberFormat.NumberDecimalSeparator;
String strObjective = "0" + s + "5x² + 0" + s + "2y² + 0" + s + "3xy";
String[] strConstraints =
{
"0" + s + "01x + 0" + s + "02y - 0" + s + "03 = 0",
"x + y = 100"
};
// Now we can start creating our function:
QuadraticObjectiveFunction function = new QuadraticObjectiveFunction(strObjective, CultureInfo.CurrentCulture);
LinearConstraintCollection cst = new LinearConstraintCollection();
foreach (var tmpCst in strConstraints)
{
cst.Add(new LinearConstraint(function, tmpCst, CultureInfo.CurrentCulture));
}
var classSolver = new Accord.Math.Optimization.GoldfarbIdnani(function, cst);
bool status = classSolver.Minimize();
double result = classSolver.Value;
Assert.IsTrue(status);
Assert.AreEqual(15553.60, result, 1e-10);
}
public void GoldfarbIdnaniParseGlobalizationTest2()
{
String strObjective = 0.5.ToString(CultureInfo.InvariantCulture)
+ "x² +" + 0.2.ToString(CultureInfo.InvariantCulture) + "y² +"
+ 0.3.ToString(CultureInfo.InvariantCulture) + "xy";
String[] strConstraints =
{
0.01.ToString(CultureInfo.InvariantCulture) + "x" + " + " +
0.02.ToString(CultureInfo.InvariantCulture) + "y - " +
0.03.ToString(CultureInfo.InvariantCulture) + " = 0",
"x + y = 100"
};
QuadraticObjectiveFunction function = new QuadraticObjectiveFunction(strObjective);
LinearConstraintCollection cst = new LinearConstraintCollection();
foreach (var tmpCst in strConstraints)
{
cst.Add(new LinearConstraint(function, tmpCst));
}
var classSolver = new Accord.Math.Optimization.GoldfarbIdnani(function, cst);
bool status = classSolver.Minimize();
double result = classSolver.Value;
Assert.IsTrue(status);
Assert.AreEqual(15553.60, result, 1e-10);
}
public void GoldfarbIdnaniParseGlobalizationTestBase()
{
// minimize 0.5x² + 0.2y² + 0.3xy s.t. 0.01x + 0.02y - 0.03 = 0 AND x + y = 100
// http://www.wolframalpha.com/input/?i=minimize+0.5x%C2%B2+%2B+0.2y%C2%B2+%2B+0.3xy+s.t.+0.01x+%2B+0.02y+-+0.03+%3D+0+AND+x+%2B+y+%3D+100
String strObjective = "0.5x² + 0.2y² + 0.3xy";
String[] strConstraints =
{
"0.01x + 0.02y - 0.03 = 0",
"x + y = 100"
};
QuadraticObjectiveFunction function = new QuadraticObjectiveFunction(strObjective);
LinearConstraintCollection cst = new LinearConstraintCollection();
foreach (var tmpCst in strConstraints)
{
cst.Add(new LinearConstraint(function, tmpCst));
}
var classSolver = new Accord.Math.Optimization.GoldfarbIdnani(function, cst);
bool status = classSolver.Minimize();
double result = classSolver.Value;
Assert.IsTrue(status);
Assert.AreEqual(15553.60, result, 1e-10);
}
public void GoldfarbIdnaniParseGlobalizationTestBase()
{
// minimize 0.5x² + 0.2y² + 0.3xy s.t. 0.01x + 0.02y - 0.03 = 0 AND x + y = 100
// http://www.wolframalpha.com/input/?i=minimize+0.5x%C2%B2+%2B+0.2y%C2%B2+%2B+0.3xy+s.t.+0.01x+%2B+0.02y+-+0.03+%3D+0+AND+x+%2B+y+%3D+100
String strObjective = "0.5x² + 0.2y² + 0.3xy";
String[] strConstraints =
{
"0.01x + 0.02y - 0.03 = 0",
"x + y = 100"
};
QuadraticObjectiveFunction function = new QuadraticObjectiveFunction(strObjective);
LinearConstraintCollection cst = new LinearConstraintCollection();
foreach (var tmpCst in strConstraints)
cst.Add(new LinearConstraint(function, tmpCst));
var classSolver = new Accord.Math.Optimization.GoldfarbIdnani(function, cst);
bool status = classSolver.Minimize();
double result = classSolver.Value;
Assert.IsTrue(status);
Assert.AreEqual(15553.60, result, 1e-10);
}
public void GoldfarbIdnaniParseTest()
{
var s = CultureInfo.CurrentCulture.NumberFormat.NumberDecimalSeparator;
String strObjective = "0" + s + "5x² + 0" + s + "2y² + 0" + s + "3xy";
String[] strConstraints =
{
"0" + s + "01x + 0" + s + "02y - 0" + s + "03 = 0",
"x + y = 100"
};
// Now we can start creating our function:
QuadraticObjectiveFunction function = new QuadraticObjectiveFunction(strObjective, CultureInfo.CurrentCulture);
LinearConstraintCollection cst = new LinearConstraintCollection();
foreach (var tmpCst in strConstraints)
cst.Add(new LinearConstraint(function, tmpCst, CultureInfo.CurrentCulture));
var classSolver = new Accord.Math.Optimization.GoldfarbIdnani(function, cst);
bool status = classSolver.Minimize();
double result = classSolver.Value;
Assert.IsTrue(status);
Assert.AreEqual(15553.60, result, 1e-10);
}
public void GoldfarbIdnaniParseGlobalizationTest2()
{
String strObjective = 0.5.ToString(CultureInfo.InvariantCulture)
+ "x² +" + 0.2.ToString(CultureInfo.InvariantCulture) + "y² +"
+ 0.3.ToString(CultureInfo.InvariantCulture) + "xy";
String[] strConstraints =
{
0.01.ToString(CultureInfo.InvariantCulture) + "x" + " + " +
0.02.ToString(CultureInfo.InvariantCulture) + "y - " +
0.03.ToString(CultureInfo.InvariantCulture) + " = 0",
"x + y = 100"
};
QuadraticObjectiveFunction function = new QuadraticObjectiveFunction(strObjective);
LinearConstraintCollection cst = new LinearConstraintCollection();
foreach (var tmpCst in strConstraints)
cst.Add(new LinearConstraint(function, tmpCst));
var classSolver = new Accord.Math.Optimization.GoldfarbIdnani(function, cst);
bool status = classSolver.Minimize();
double result = classSolver.Value;
Assert.IsTrue(status);
Assert.AreEqual(15553.60, result, 1e-10);
}