/// <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()); }