Package org.apache.commons.math3.fitting
Class CurveFitter<T extends ParametricUnivariateFunction>
java.lang.Object
org.apache.commons.math3.fitting.CurveFitter<T>
- Type Parameters:
T- Function to use for the fit.
- Direct Known Subclasses:
GaussianFitter,HarmonicFitter,PolynomialFitter
Deprecated.
Fitter for parametric univariate real functions y = f(x).
When a univariate real function y = f(x) does depend on some unknown parameters p0, p1 ... pn-1, this class can be used to find these parameters. It does this by fitting the curve so it remains very close to a set of observed points (x0, y0), (x1, y1) ... (xk-1, yk-1). This fitting is done by finding the parameters values that minimizes the objective function ∑(yi-f(xi))2. This is really a least squares problem.
When a univariate real function y = f(x) does depend on some unknown parameters p0, p1 ... pn-1, this class can be used to find these parameters. It does this by fitting the curve so it remains very close to a set of observed points (x0, y0), (x1, y1) ... (xk-1, yk-1). This fitting is done by finding the parameters values that minimizes the objective function ∑(yi-f(xi))2. This is really a least squares problem.
- Since:
- 2.0
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Constructor Summary
ConstructorsConstructorDescriptionCurveFitter(MultivariateVectorOptimizer optimizer) Deprecated.Simple constructor. -
Method Summary
Modifier and TypeMethodDescriptionvoidaddObservedPoint(double x, double y) Deprecated.Add an observed (x,y) point to the sample with unit weight.voidaddObservedPoint(double weight, double x, double y) Deprecated.Add an observed weighted (x,y) point to the sample.voidaddObservedPoint(WeightedObservedPoint observed) Deprecated.Add an observed weighted (x,y) point to the sample.voidDeprecated.Remove all observations.double[]Deprecated.Fit a curve.double[]Deprecated.Fit a curve.Deprecated.Get the observed points.
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Constructor Details
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CurveFitter
Deprecated.Simple constructor.- Parameters:
optimizer- Optimizer to use for the fitting.- Since:
- 3.1
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Method Details
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addObservedPoint
public void addObservedPoint(double x, double y) Deprecated.Add an observed (x,y) point to the sample with unit weight.Calling this method is equivalent to call
addObservedPoint(1.0, x, y).- Parameters:
x- abscissa of the pointy- observed value of the point at x, after fitting we should have f(x) as close as possible to this value- See Also:
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addObservedPoint
public void addObservedPoint(double weight, double x, double y) Deprecated.Add an observed weighted (x,y) point to the sample.- Parameters:
weight- weight of the observed point in the fitx- abscissa of the pointy- observed value of the point at x, after fitting we should have f(x) as close as possible to this value- See Also:
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addObservedPoint
Deprecated.Add an observed weighted (x,y) point to the sample.- Parameters:
observed- observed point to add- See Also:
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getObservations
Deprecated.Get the observed points.- Returns:
- observed points
- See Also:
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clearObservations
public void clearObservations()Deprecated.Remove all observations. -
fit
Deprecated.Fit a curve. This method compute the coefficients of the curve that best fit the sample of observed points previously given through calls to theaddObservedPointmethod.- Parameters:
f- parametric function to fit.initialGuess- first guess of the function parameters.- Returns:
- the fitted parameters.
- Throws:
DimensionMismatchException- if the start point dimension is wrong.
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fit
Deprecated.Fit a curve. This method compute the coefficients of the curve that best fit the sample of observed points previously given through calls to theaddObservedPointmethod.- Parameters:
maxEval- Maximum number of function evaluations.f- parametric function to fit.initialGuess- first guess of the function parameters.- Returns:
- the fitted parameters.
- Throws:
TooManyEvaluationsException- if the number of allowed evaluations is exceeded.DimensionMismatchException- if the start point dimension is wrong.- Since:
- 3.0
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AbstractCurveFitterandWeightedObservedPointsinstead.