Package org.hipparchus.fitting
Class SimpleCurveFitter
- java.lang.Object
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- org.hipparchus.fitting.AbstractCurveFitter
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- org.hipparchus.fitting.SimpleCurveFitter
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public class SimpleCurveFitter extends AbstractCurveFitter
Fits points to a user-definedfunction
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Nested Class Summary
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Nested classes/interfaces inherited from class org.hipparchus.fitting.AbstractCurveFitter
AbstractCurveFitter.TheoreticalValuesFunction
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static SimpleCurveFitter
create(ParametricUnivariateFunction f, double[] start)
Creates a curve fitter.protected LeastSquaresProblem
getProblem(Collection<WeightedObservedPoint> observations)
Creates a least squares problem corresponding to the appropriate curve.SimpleCurveFitter
withMaxIterations(int newMaxIter)
Configure the maximum number of iterations.SimpleCurveFitter
withStartPoint(double[] newStart)
Configure the start point (initial guess).-
Methods inherited from class org.hipparchus.fitting.AbstractCurveFitter
fit, getOptimizer
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Method Detail
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create
public static SimpleCurveFitter create(ParametricUnivariateFunction f, double[] start)
Creates a curve fitter. The maximum number of iterations of the optimization algorithm is set toInteger.MAX_VALUE
.- Parameters:
f
- Function to fit.start
- Initial guess for the parameters. Cannot benull
. Its length must be consistent with the number of parameters of the function to fit.- Returns:
- a curve fitter.
- See Also:
withStartPoint(double[])
,withMaxIterations(int)
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withStartPoint
public SimpleCurveFitter withStartPoint(double[] newStart)
Configure the start point (initial guess).- Parameters:
newStart
- new start point (initial guess)- Returns:
- a new instance.
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withMaxIterations
public SimpleCurveFitter withMaxIterations(int newMaxIter)
Configure the maximum number of iterations.- Parameters:
newMaxIter
- maximum number of iterations- Returns:
- a new instance.
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getProblem
protected LeastSquaresProblem getProblem(Collection<WeightedObservedPoint> observations)
Creates a least squares problem corresponding to the appropriate curve.- Specified by:
getProblem
in classAbstractCurveFitter
- Parameters:
observations
- Sample points.- Returns:
- the least squares problem to use for fitting the curve to the
given
points
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