static void Main(string[] args)
{
Class1.Test();
var qpProblem = new QpGeneratorSimple().Generate(200);
IQpSolver solver = new QpSolver();
QpReport report = solver.Solve(qpProblem);
Console.WriteLine(report.ElapsedTime);
Console.ReadLine();
}
public void QpInfeasible()
{
// Arrange
var qpProblem = new QpGeneratorInfeasible().Generate(n);
// Act
IQpSolver solver = new QpSolver();
QpReport report = solver.Solve(qpProblem);
// Assert
Assert.AreEqual(TerminationType.Infeasible, report.Type);
}
public void ProfileMatchingSpreadsheet()
{
// Arrange
var problem = new ProfileMatcherSpreadsheet().Generate(1);
IQpProblem qpProblem = new ProfileMatchingQpConverter(
ProfileMatchingMetric.CumulativeSumsquares).Convert(problem);
// Act
IQpSolver solver = new QpSolver();
QpReport report = solver.Solve(qpProblem);
SaveArrayAsCSV(report.X, @"C:\Users\Alex\Documents\TEMP\blah.csv");
}
public void ProfileMatchingInfeasible()
{
// Arrange
var problem = new ProfileMatcherInfeasible().Generate();
IQpProblem qpProblem = new ProfileMatchingQpConverter(
ProfileMatchingMetric.CumulativeSumsquares).Convert(problem);
// Act
IQpSolver solver = new QpSolver();
QpReport report = solver.Solve(qpProblem);
// Assert
Assert.AreEqual(TerminationType.Infeasible, report.Type);
}
public void QpSimple()
{
// Arrange
var qpProblem = new QpGeneratorSimple().Generate(n);
// Act
IQpSolver solver = new QpSolver();
QpReport report = solver.Solve(qpProblem);
// Assert
var builder = Vector <double> .Build;
var check = builder.DenseOfArray(report.X) + builder.DenseOfArray(qpProblem.C);
Assert.IsTrue(check.Norm(2) < (1e-8 * n));
}
public void ProfileMatchingUnconstrained()
{
// Arrange
var problem = new ProfileMatcherUnconstrained().Generate();
IQpProblem qpProblem = new ProfileMatchingQpConverter(
ProfileMatchingMetric.CumulativeSumsquares).Convert(problem);
// Act
IQpSolver solver = new QpSolver();
QpReport report = solver.Solve(qpProblem);
// Assert
Assert.AreEqual(report.X[0], 2, Epsilon);
Assert.AreEqual(report.X[1], 1, Epsilon);
Assert.AreEqual(report.X[2], 3, Epsilon);
}
public void ProfileMatchingEquality()
{
// Arrange
var problem = new ProfileMatcherEquality().Generate();
IQpProblem qpProblem = new ProfileMatchingQpConverter(
ProfileMatchingMetric.CumulativeSumsquares).Convert(problem);
// Act
IQpSolver solver = new QpSolver();
QpReport report = solver.Solve(qpProblem);
// Assert
Assert.AreEqual(report.X[0], 1.92682926808697, Epsilon);
Assert.AreEqual(report.X[1], 1.4390243902732891, Epsilon);
Assert.AreEqual(report.X[2], 2, Epsilon);
}
public void ProfileMatchingSimple()
{
// Arrange
var problem = new ProfileMatcherSimple().Generate();
IQpProblem qpProblem = new ProfileMatchingQpConverter(
ProfileMatchingMetric.CumulativeSumsquares).Convert(problem);
// Act
IQpSolver solver = new QpSolver();
QpReport report = solver.Solve(qpProblem);
// Assert
Assert.AreEqual(report.X[0], 1.95238095238094, Epsilon);
Assert.AreEqual(report.X[1], 1.42857142857143, Epsilon);
Assert.AreEqual(report.X[2], 2, Epsilon);
}