Package org.hipparchus.fitting

Classes to perform curve fitting.

See: Description

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.

Package org.hipparchus.fitting Description

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 \( (x_i, y_i) \).