public void BoxBod_TRDL_Dif()
{
var obj = ObjectiveFunction.NonlinearModel(BoxBodModel, BoxBodX, BoxBodY, accuracyOrder: 6);
var solver = new TrustRegionDogLegMinimizer();
var result = solver.FindMinimum(obj, BoxBodStart1);
for (int i = 0; i < result.MinimizingPoint.Count; i++)
{
AssertHelpers.AlmostEqualRelative(BoxBodPbest[i], result.MinimizingPoint[i], 3);
AssertHelpers.AlmostEqualRelative(BoxBodPstd[i], result.StandardErrors[i], 3);
}
}
public void Thurber_TRDL_Dif()
{
var obj = ObjectiveFunction.NonlinearModel(ThurberModel, ThurberX, ThurberY, accuracyOrder: 6);
var solver = new TrustRegionDogLegMinimizer();
var result = solver.FindMinimum(obj, ThurberStart, scales: ThurberScales);
for (int i = 0; i < result.MinimizingPoint.Count; i++)
{
AssertHelpers.AlmostEqualRelative(ThurberPbest[i], result.MinimizingPoint[i], 3);
AssertHelpers.AlmostEqualRelative(ThurberPstd[i], result.StandardErrors[i], 3);
}
}
public void Rat43_TRDL_Dif()
{
var obj = ObjectiveFunction.NonlinearModel(Rat43Model, Rat43X, Rat43Y, accuracyOrder: 6);
var solver = new TrustRegionDogLegMinimizer();
var result = solver.FindMinimum(obj, Rat43Start2);
for (int i = 0; i < result.MinimizingPoint.Count; i++)
{
AssertHelpers.AlmostEqualRelative(Rat43Pbest[i], result.MinimizingPoint[i], 2);
AssertHelpers.AlmostEqualRelative(Rat43Pstd[i], result.StandardErrors[i], 2);
}
}
