public abstract class AbstractCurveFitter extends Object
y = f(pi;x), where x is
 the independent variable and the pi are the
 parameters.
 N observed points (xk, yk),
 0 <= k < N.
 
  ∑yk - f(xk)2,
 fit(Collection) method for obtaining the parameters.
 The problem setup, such as the choice of optimization algorithm
 for fitting a specific function is delegated to subclasses.| Modifier and Type | Class and Description | 
|---|---|
| protected static class  | AbstractCurveFitter.TheoreticalValuesFunctionVector function for computing function theoretical values. | 
| Constructor and Description | 
|---|
| AbstractCurveFitter() | 
| Modifier and Type | Method and Description | 
|---|---|
| double[] | fit(Collection<WeightedObservedPoint> points)Fits a curve. | 
| protected LeastSquaresOptimizer | getOptimizer()Creates an optimizer set up to fit the appropriate curve. | 
| protected abstract LeastSquaresProblem | getProblem(Collection<WeightedObservedPoint> points)Creates a least squares problem corresponding to the appropriate curve. | 
public double[] fit(Collection<WeightedObservedPoint> points)
points - Observations.protected LeastSquaresOptimizer getOptimizer()
 The default implementation uses a Levenberg-Marquardt optimizer.
 
points.protected abstract LeastSquaresProblem getProblem(Collection<WeightedObservedPoint> points)
points - Sample points.points.Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.