Class  Description 

AbstractCurveFitter<OPTIM extends AbstractOptimizer<PointVectorValuePair,OPTIM>> 
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.

PolynomialFitter 
Polynomial fitting is a very simple case of
curve fitting . 
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. 
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})
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