public void Create()
{
var criterium = new DivergenceStopCriterium(0.1, 3);
Assert.IsNotNull(criterium, "There should be a criterium");
Assert.AreEqual(0.1, criterium.MaximumRelativeIncrease, "Incorrect maximum");
Assert.AreEqual(3, criterium.MinimumNumberOfIterations, "Incorrect iteration count");
}
public void Clone()
{
const double Increase = 0.5;
const int Iterations = 10;
var criterium = new DivergenceStopCriterium(Increase, Iterations);
Assert.IsNotNull(criterium, "There should be a criterium");
var clone = criterium.Clone();
Assert.IsInstanceOf(typeof (DivergenceStopCriterium), clone, "Wrong criterium type");
var clonedCriterium = clone as DivergenceStopCriterium;
Assert.IsNotNull(clonedCriterium);
Assert.AreEqual(criterium.MaximumRelativeIncrease, clonedCriterium.MaximumRelativeIncrease, "Incorrect maximum");
Assert.AreEqual(criterium.MinimumNumberOfIterations, clonedCriterium.MinimumNumberOfIterations, "Incorrect iteration count");
}
public void ResetMinimumIterationsBelowMaximum()
{
var criterium = new DivergenceStopCriterium(0.5, 15);
Assert.IsNotNull(criterium, "There should be a criterium");
Assert.AreEqual(15, criterium.MinimumNumberOfIterations, "Incorrect iteration count");
criterium.ResetNumberOfIterationsToDefault();
Assert.AreEqual(DivergenceStopCriterium.DefaultMinimumNumberOfIterations, criterium.MinimumNumberOfIterations, "Incorrect value");
}
public void ResetMaximumIncrease()
{
var criterium = new DivergenceStopCriterium(0.5, 3);
Assert.IsNotNull(criterium, "There should be a criterium");
Assert.AreEqual(0.5, criterium.MaximumRelativeIncrease, "Incorrect maximum");
criterium.ResetMaximumRelativeIncreaseToDefault();
Assert.AreEqual(DivergenceStopCriterium.DefaultMaximumRelativeIncrease, criterium.MaximumRelativeIncrease, "Incorrect value");
}
public void ResetCalculationState()
{
const double Increase = 0.5;
const int Iterations = 10;
var criterium = new DivergenceStopCriterium(Increase, Iterations);
// Add residuals. Blow it up instantly
var status = criterium.DetermineStatus(
1,
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {float.NaN}));
Assert.AreEqual(IterationStatus.Diverged, status, "Status check fail.");
// Reset the state
criterium.ResetToPrecalculationState();
Assert.AreEqual(Increase, criterium.MaximumRelativeIncrease, "Incorrect maximum");
Assert.AreEqual(Iterations, criterium.MinimumNumberOfIterations, "Incorrect iteration count");
Assert.AreEqual(IterationStatus.Indetermined, criterium.Status, "Status check fail.");
}
public void DetermineStatusWithTooFewIterations()
{
const float Increase = 0.5f;
const int Iterations = 10;
var criterium = new DivergenceStopCriterium(Increase, Iterations);
// Add residuals. We should not diverge because we'll have to few iterations
for (var i = 0; i < Iterations - 1; i++)
{
var status = criterium.DetermineStatus(
i,
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {(i + 1)*(Increase + 0.1f)}));
Assert.AreEqual(IterationStatus.Running, status, "Status check fail.");
}
}
public void DetermineStatusWithNoDivergence()
{
const float Increase = 0.5f;
const int Iterations = 10;
var criterium = new DivergenceStopCriterium(Increase, Iterations);
// Add residuals. We should not diverge because we won't have enough increase
for (var i = 0; i < Iterations*2; i++)
{
var status = criterium.DetermineStatus(
i,
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {(i + 1)*(Increase - 0.01f)}));
Assert.AreEqual(IterationStatus.Running, status, "Status check fail.");
}
}
public void DetermineStatusWithIllegalIterationNumberThrowsArgumentOutOfRangeException()
{
var criterium = new DivergenceStopCriterium(0.5, 15);
Assert.Throws<ArgumentOutOfRangeException>(() => criterium.DetermineStatus(
-1,
DenseVector.Create(3, i => 4),
DenseVector.Create(3, i => 5),
DenseVector.Create(3, i => 6)));
}
public void DetermineStatusWithDivergenceThroughNaN()
{
const float Increase = 0.5f;
const int Iterations = 10;
var criterium = new DivergenceStopCriterium(Increase, Iterations);
// Add residuals. We should not diverge because we'll have to few iterations
for (var i = 0; i < Iterations - 5; i++)
{
var status = criterium.DetermineStatus(
i,
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {(i + 1)*(Increase - 0.01f)}));
Assert.AreEqual(IterationStatus.Running, status, "Status check fail.");
}
// Now make it fail by throwing in a NaN
var status2 = criterium.DetermineStatus(
Iterations,
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {float.NaN}));
Assert.AreEqual(IterationStatus.Diverged, status2, "Status check fail.");
}
public void DetermineStatusWithDivergence()
{
const float Increase = 0.5f;
const int Iterations = 10;
var criterium = new DivergenceStopCriterium(Increase, Iterations);
// Add residuals. We should not diverge because we'll have one to few iterations
float previous = 1;
for (var i = 0; i < Iterations - 1; i++)
{
previous *= 1 + Increase + 0.01f;
var status = criterium.DetermineStatus(
i,
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {previous}));
Assert.AreEqual(IterationStatus.Running, status, "Status check fail.");
}
// Add the final residual. Now we should have divergence
previous *= 1 + Increase + 0.01f;
var status2 = criterium.DetermineStatus(
Iterations - 1,
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {1.0f}),
new DenseVector(new[] {previous}));
Assert.AreEqual(IterationStatus.Diverged, status2, "Status check fail.");
}