Uses of Class
org.hipparchus.fitting.WeightedObservedPoint

Packages that use WeightedObservedPoint

Package	Description
org.hipparchus.fitting	Classes to perform curve fitting.

Uses of WeightedObservedPoint in org.hipparchus.fitting

Methods in org.hipparchus.fitting that return types with arguments of type WeightedObservedPoint

Modifier and Type	Method	Description
List<WeightedObservedPoint>	WeightedObservedPoints.toList()	Gets a snapshot of the observed points.

Methods in org.hipparchus.fitting with parameters of type WeightedObservedPoint

Modifier and Type	Method	Description
void	WeightedObservedPoints.add(WeightedObservedPoint observed)	Adds a point to the sample.

Method parameters in org.hipparchus.fitting with type arguments of type WeightedObservedPoint

Modifier and Type	Method	Description
double[]	AbstractCurveFitter.fit(Collection<WeightedObservedPoint> points)	Fits a curve.
protected abstract LeastSquaresProblem	AbstractCurveFitter.getProblem(Collection<WeightedObservedPoint> points)	Creates a least squares problem corresponding to the appropriate curve.
protected LeastSquaresProblem	GaussianCurveFitter.getProblem(Collection<WeightedObservedPoint> observations)	Creates a least squares problem corresponding to the appropriate curve.
protected LeastSquaresProblem	HarmonicCurveFitter.getProblem(Collection<WeightedObservedPoint> observations)	Creates a least squares problem corresponding to the appropriate curve.
protected LeastSquaresProblem	PolynomialCurveFitter.getProblem(Collection<WeightedObservedPoint> observations)	Creates a least squares problem corresponding to the appropriate curve.
protected LeastSquaresProblem	SimpleCurveFitter.getProblem(Collection<WeightedObservedPoint> observations)	Creates a least squares problem corresponding to the appropriate curve.

Constructor parameters in org.hipparchus.fitting with type arguments of type WeightedObservedPoint

Constructor	Description
ParameterGuesser(Collection<WeightedObservedPoint> observations)	Constructs instance with the specified observed points.
ParameterGuesser(Collection<WeightedObservedPoint> observations)	Simple constructor.
TheoreticalValuesFunction(ParametricUnivariateFunction f, Collection<WeightedObservedPoint> observations)