Package org.hipparchus.fitting
Class GaussianCurveFitter
java.lang.Object
org.hipparchus.fitting.AbstractCurveFitter
org.hipparchus.fitting.GaussianCurveFitter
Fits points to a
The
Gaussian
function.
The
initial guess values
must be passed
in the following order:
- Normalization
- Mean
- Sigma
Usage example:
WeightedObservedPoints obs = new WeightedObservedPoints(); obs.add(4.0254623, 531026.0); obs.add(4.03128248, 984167.0); obs.add(4.03839603, 1887233.0); obs.add(4.04421621, 2687152.0); obs.add(4.05132976, 3461228.0); obs.add(4.05326982, 3580526.0); obs.add(4.05779662, 3439750.0); obs.add(4.0636168, 2877648.0); obs.add(4.06943698, 2175960.0); obs.add(4.07525716, 1447024.0); obs.add(4.08237071, 717104.0); obs.add(4.08366408, 620014.0); double[] parameters = GaussianCurveFitter.create().fit(obs.toList());
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Nested Class Summary
Modifier and TypeClassDescriptionstatic class
Guesses the parametersnorm
,mean
, andsigma
of aGaussian.Parametric
based on the specified observed points.Nested classes/interfaces inherited from class org.hipparchus.fitting.AbstractCurveFitter
AbstractCurveFitter.TheoreticalValuesFunction
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Method Summary
Modifier and TypeMethodDescriptionstatic GaussianCurveFitter
create()
Creates a default curve fitter.protected LeastSquaresProblem
getProblem
(Collection<WeightedObservedPoint> observations) Creates a least squares problem corresponding to the appropriate curve.withMaxIterations
(int newMaxIter) Configure the maximum number of iterations.withStartPoint
(double[] newStart) Configure the start point (initial guess).Methods inherited from class org.hipparchus.fitting.AbstractCurveFitter
fit, getOptimizer
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Method Details
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create
Creates a default curve fitter. The initial guess for the parameters will beGaussianCurveFitter.ParameterGuesser
computed automatically, and the maximum number of iterations of the optimization algorithm is set toInteger.MAX_VALUE
.- Returns:
- a curve fitter.
- See Also:
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withStartPoint
Configure the start point (initial guess).- Parameters:
newStart
- new start point (initial guess)- Returns:
- a new instance.
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withMaxIterations
Configure the maximum number of iterations.- Parameters:
newMaxIter
- maximum number of iterations- Returns:
- a new instance.
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getProblem
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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