org.apache.commons.math3.fitting (Apache Commons Math 3.6.1 API)

Class Summary
Class	Description
AbstractCurveFitter	Base class that contains common code for fitting parametric univariate real functions `y = f(p_i;x)`, where `x` is the independent variable and the `p_i` are the parameters.
AbstractCurveFitter.TheoreticalValuesFunction	Vector function for computing function theoretical values.
CurveFitter<T extends ParametricUnivariateFunction>	Deprecated As of 3.3.
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.
GaussianFitter	Deprecated As of 3.3.
GaussianFitter.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.
HarmonicFitter	Deprecated As of 3.3.
HarmonicFitter.ParameterGuesser	This class guesses harmonic coefficients from a sample.
PolynomialCurveFitter	Fits points to a `polynomial` function.
PolynomialFitter	Deprecated As of 3.3.
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.apache.commons.math3.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 \( (x_i, y_i) \).