org.apache.commons.math4.legacy.fitting (Apache Commons Math 4.0-SNAPSHOT)

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(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.
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`.
SimpleCurveFitter.ParameterGuesser	Guesses the parameters.
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.math4.legacy.fitting