Class Summary Class Description AbstractCurveFitter<OPTIM extends AbstractOptimizer<PointVectorValuePair,OPTIM>> Base class that contains common code for fitting parametric univariate real functions`y = f(p`

, where_{i};x)`x`

is the independent variable and the`p`

are the_{i}*parameters*.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.*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 were 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})

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