public void Thurber_LBfgs_Dif()
{
var obj = ObjectiveFunction.NonlinearFunction(ThurberModel, ThurberX, ThurberY, accuracyOrder: 6);
var solver = new LimitedMemoryBfgsMinimizer(1e-10, 1e-10, 1e-10, 1000);
var result = solver.FindMinimum(obj, ThurberStart);
for (int i = 0; i < result.MinimizingPoint.Count; i++)
{
AssertHelpers.AlmostEqualRelative(ThurberPbest[i], result.MinimizingPoint[i], 6);
}
}
public void Rat43_LBfgs_Dif()
{
var obj = ObjectiveFunction.NonlinearFunction(Rat43Model, Rat43X, Rat43Y, accuracyOrder: 6);
var solver = new LimitedMemoryBfgsMinimizer(1e-10, 1e-10, 1e-10, 1000);
var result = solver.FindMinimum(obj, Rat43Start2);
for (int i = 0; i < result.MinimizingPoint.Count; i++)
{
AssertHelpers.AlmostEqualRelative(Rat43Pbest[i], result.MinimizingPoint[i], 2);
}
}
public void BoxBod_Newton_Der()
{
var obj = ObjectiveFunction.NonlinearFunction(BoxBodModel, BoxBodPrime, BoxBodX, BoxBodY);
var solver = new NewtonMinimizer(1e-10, 100);
var result = solver.FindMinimum(obj, BoxBodStart2);
for (int i = 0; i < result.MinimizingPoint.Count; i++)
{
AssertHelpers.AlmostEqualRelative(BoxBodPbest[i], result.MinimizingPoint[i], 6);
}
}
public void Rosenbrock_Bfgs_Dif()
{
var obj = ObjectiveFunction.NonlinearFunction(RosenbrockModel, RosenbrockX, RosenbrockY, accuracyOrder: 6);
var solver = new BfgsMinimizer(1e-8, 1e-8, 1e-8, 1000);
var result = solver.FindMinimum(obj, RosenbrockStart1);
for (int i = 0; i < result.MinimizingPoint.Count; i++)
{
AssertHelpers.AlmostEqualRelative(RosenbrockPbest[i], result.MinimizingPoint[i], 2);
}
}