/// <summary>
/// Objective function for nonlinear least squares regression.
/// The numerical jacobian with accuracy order is used.
/// </summary>
public static IObjectiveFunction NonlinearFunction(Func <Vector <double>, Vector <double>, Vector <double> > function,
Vector <double> observedX, Vector <double> observedY, Vector <double> weight = null,
int accuracyOrder = 2)
{
var objective = new NonlinearObjectiveFunction(function, null, accuracyOrder: accuracyOrder);
objective.SetObserved(observedX, observedY, weight);
return(objective.ToObjectiveFunction());
}
/// <summary>
/// Objective function with a user supplied jacobian for nonlinear least squares regression.
/// </summary>
public static IObjectiveFunction NonlinearFunction(Func <Vector <double>, Vector <double>, Vector <double> > function,
Func <Vector <double>, Vector <double>, Matrix <double> > derivatives,
Vector <double> observedX, Vector <double> observedY, Vector <double> weight = null)
{
var objective = new NonlinearObjectiveFunction(function, derivatives);
objective.SetObserved(observedX, observedY, weight);
return(objective.ToObjectiveFunction());
}