Using Parallelism

Mathematics Library User's Guide

Vector and Matrix Library User's Guide

Statistics Library User's Guide

Reference

Represents a Curve that can be used for a non-linear regression calculation.

Namespace: Extreme.Mathematics.Curves
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 5.0.13017.0 (5.0.13248.0)

Syntax

C#
public abstract class NonlinearCurve : Curve

Visual Basic
Public MustInherit Class NonlinearCurve Inherits Curve

Visual C++
public ref class NonlinearCurve abstract : public Curve

F#
[<AbstractClassAttribute>] type NonlinearCurve = class inherit Curve end

Remarks

Use the NonlinearCurve class to represent a curve suitable for use in a non-linear curve fitting. The NonlinearCurveFitter class works only with curves that derive from NonlinearCurve. See this class for details on how to perform a least squares fit.

NonlinearCurve is an abstract class and cannot be instantiated directly. Instead, derive your own class from NonlinearCurve, or use one of the predefined classes listed in the following table:

Class	Description
ExponentialCurve	A sum of exponential terms.
FourParameterLogisticCurve	A standard 4-parameter logistic curve.
FiveParameterLogisticCurve	A 5-parameter logistic curve that includes an asymmetry factor.
GaussianCurve	A 4-parameter Gaussian 'bell' curve.
LorentzCurve	A 4-parameter Lorentz peak curve.
RationalCurve	A quotient of two polynomials.
SineCurve	A 4-parameter periodic curve.

Note to inheritors: You must override the ValueAt(Double) method. If possible, you should also override the FillPartialDerivatives(Double, DenseVector) and SlopeAt(Double) methods. By default, a numerical approximation is used as the derivative.

Inheritance Hierarchy

Version Information

Numerical Libraries

Supported in: 5.0, 4.x, 3.6

NonlinearCurve Class

Syntax

Remarks

Inheritance Hierarchy

Version Information

Numerical Libraries

See Also