@Deprecated public class GaussianFitter extends CurveFitter<Gaussian.Parametric>
Gaussian function.
 Usage example:
   GaussianFitter fitter = new GaussianFitter(
     new LevenbergMarquardtOptimizer());
   fitter.addObservedPoint(4.0254623,  531026.0);
   fitter.addObservedPoint(4.03128248, 984167.0);
   fitter.addObservedPoint(4.03839603, 1887233.0);
   fitter.addObservedPoint(4.04421621, 2687152.0);
   fitter.addObservedPoint(4.05132976, 3461228.0);
   fitter.addObservedPoint(4.05326982, 3580526.0);
   fitter.addObservedPoint(4.05779662, 3439750.0);
   fitter.addObservedPoint(4.0636168,  2877648.0);
   fitter.addObservedPoint(4.06943698, 2175960.0);
   fitter.addObservedPoint(4.07525716, 1447024.0);
   fitter.addObservedPoint(4.08237071, 717104.0);
   fitter.addObservedPoint(4.08366408, 620014.0);
   double[] parameters = fitter.fit();
 | Modifier and Type | Class and Description | 
|---|---|
| static class  | GaussianFitter.ParameterGuesserDeprecated.  Guesses the parameters  norm,mean, andsigmaof aGaussian.Parametricbased on the specified observed points. | 
| Constructor and Description | 
|---|
| GaussianFitter(DifferentiableMultivariateVectorOptimizer optimizer)Deprecated.  Constructs an instance using the specified optimizer. | 
| Modifier and Type | Method and Description | 
|---|---|
| double[] | fit()Deprecated.  Fits a Gaussian function to the observed points. | 
| double[] | fit(double[] initialGuess)Deprecated.  Fits a Gaussian function to the observed points. | 
addObservedPoint, addObservedPoint, addObservedPoint, clearObservations, fit, fit, getObservationspublic GaussianFitter(DifferentiableMultivariateVectorOptimizer optimizer)
optimizer - Optimizer to use for the fitting.public double[] fit(double[] initialGuess)
initialGuess - First guess values in the following order:
 public double[] fit()
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