org.apache.commons.math3.fitting

Class AbstractCurveFitter

java.lang.Object

org.apache.commons.math3.fitting.AbstractCurveFitter

Direct Known Subclasses:

GaussianCurveFitter, HarmonicCurveFitter, PolynomialCurveFitter, SimpleCurveFitter

public abstract class AbstractCurveFitter
extends java.lang.Object

Base class that contains common code for fitting parametric univariate real functions y = f(pi;x), where x is the independent variable and the pi are the parameters.
A fitter will find the optimal values of the parameters by fitting the curve so it remains very close to a set of N observed points (xk, yk), 0 <= k < N.
An algorithm usually performs the fit by finding the parameter values that minimizes the objective function

  ∑yk - f(xk)2,
 

which is actually a least-squares problem. This class contains boilerplate code for calling the 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.

Since:

3.3

Constructor Summary

Constructors

Constructor and Description
AbstractCurveFitter()

Method Summary

Modifier and Type	Method and Description
double[]	fit(java.util.Collection<WeightedObservedPoint> points) Fits a curve.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AbstractCurveFitter

public AbstractCurveFitter()

Method Detail

fit

public double[] fit(java.util.Collection<WeightedObservedPoint> points)

Fits a curve. This method computes the coefficients of the curve that best fit the sample of observed points.

Parameters:

points - Observations.

Returns:

the fitted parameters.