CurveFitter Class

Implements the Levenberg-Marquardt algorithm for non-linear least-squares.

For a list of all members of this type, see CurveFitter Members.

System.Object
   CurveFitter

Remarks

Use the NonlinearCurveFitter class to fit data to a nonlinear curve by the method of least squares. The curve, which must be of a type that inherits from NonlinearCurve, is specified by the Curve property. The data is supplied as Vector objects through the XValues and YValues properties.

The Fit method performs the actual curve fit. This method returns the NonlinearCurve that best fits the supplied data. To verify that the algorithm terminated normally, you can inspect the Status property, which is of type AlgorithmStatus. A value of Normal indicates that the algorithm terminated normally. However, it is still possible that the algorithm didn't converge to the actual best fit. A visual inspection is always recommended.

By default, the observations are unweighted. You can supply a weighting method in two ways. You can set the WeightFunction property to a BivariateRealFunction delegate that computes the weight for each observation. The WeightFunctions class provides predefined delegates for the most common weight functions. Alternatively, you can set the individual weights by setting the WeightVector property to a Vector that contains the weight for each individual observation.

Requirements

Namespace: Extreme.Mathematics.Curves

Assembly: Extreme.Mathematics (in Extreme.Mathematics.dll)

See Also

CurveFitter Members | Extreme.Mathematics.Curves Namespace