Package org.hipparchus.fitting

Classes to perform curve fitting. Curve fitting is a special case of a least-squares problem where the parameters are the coefficients of a function \( f \) whose graph \( y = f(x) \) should pass through sample points, and were the objective function is the squared sum of the residuals \( f(x_i) - y_i \) for observed points \( (x_i, y_i) \).

Class Summary

Class	Description
AbstractCurveFitter	Base class that contains common code for fitting parametric univariate real functions y = f(pi;x), where x is the independent variable and the pi are the parameters.
AbstractCurveFitter.TheoreticalValuesFunction	Vector function for computing function theoretical values.
GaussianCurveFitter	Fits points to a Gaussian function.
GaussianCurveFitter.ParameterGuesser	Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.
HarmonicCurveFitter	Fits points to a harmonic oscillator function.
HarmonicCurveFitter.ParameterGuesser	This class guesses harmonic coefficients from a sample.
PolynomialCurveFitter	Fits points to a polynomial function.
SimpleCurveFitter	Fits points to a user-defined function.
WeightedObservedPoint	This class is a simple container for weighted observed point in curve fitting.
WeightedObservedPoints	Simple container for weighted observed points used in curve fitting algorithms.