GrowthCurveLibrary.ExponentialFit Class Reference

Inheritance diagram for GrowthCurveLibrary.ExponentialFit:

Public Member Functions
	ExponentialFit (double[] XDATA, double[] YDATA)
double	CalculateLag (double initOD)
override string	ToString ()
override double	FunctiontoFit (double x)
double	GetXValueAtYValue (double yValue)

Public Attributes
TerminationType	ReasonMarquadtEnded = TerminationType.NotYetSet

Protected Member Functions
override void	FitModel ()
override void	EvaluateSumofSquaresFunction (double[] Params, ref double func, object obj)
	Used by the fitting routine to evaluate possible values, meant to stay compatible with alg lig More...
override void	EvaluateSumofSquaresFunction22 (double[] Params, double[] func, object obj)
override void	EvaluateSumOfSquaresGradient (double[] Params, ref double func, double[] GradientVec, object obj)
override void	EvaluateSumOfSquaresGradient22 (double[] Params, double[] fi, double[,] Gradient, object obj)
override void	CreateHessianDelegates ()
	Creates an upper triangular array of delegates to calculate portions of each element of the hessian matrix More...
override double[]	CreateInitialParameterGuess ()
	Makes an initial guess based on linear regreesion More...
Protected Member Functions inherited from GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian
alglib.minlmreport	GeneralLMFitting ()
	See the example in alglib on levenberg marquadt to understand this code. Based entirely on their example, somethings kept around for compatibility More...
Protected Member Functions inherited from GrowthCurveLibrary.AbstractFitter
void	VerifyInput (double[] XDATA, double[] YDATA)
void	makeYHAT ()
double	calculateRMSE ()
double	calculateR2 ()

Properties
double	GrowthRate [get]
double	InitialPopSize [get]

Additional Inherited Members
Public Types inherited from GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian
enum	TerminationType : int {   NotYetSet = -2, WrongParams = -1, SumOfSquaresChangeConverge = 1, ParameterConverge = 2,   MaxIterations = 5 }
Protected Attributes inherited from GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian
Delegates.DerivativePortionCalculator[,]	HessianFunctions
double	EPSX
	stopping criterion. Algorithm stops if |X(k+1)-X(k)| <= EpsX*(1+|X(k)|) More...

Constructor & Destructor Documentation

GrowthCurveLibrary.ExponentialFit.ExponentialFit	(	double[]	XDATA,
		double[]	YDATA
	)

Member Function Documentation

double GrowthCurveLibrary.ExponentialFit.CalculateLag

(

double

initOD

)

override void GrowthCurveLibrary.ExponentialFit.CreateHessianDelegates ( )

protectedvirtual

Creates an upper triangular array of delegates to calculate portions of each element of the hessian matrix

Implements GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian.

override double [] GrowthCurveLibrary.ExponentialFit.CreateInitialParameterGuess ( )

protectedvirtual

Makes an initial guess based on linear regreesion

Returns

Implements GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian.

override void GrowthCurveLibrary.ExponentialFit.EvaluateSumofSquaresFunction ( double[]  Params, ref double  func, object  obj  )

protectedvirtual

Used by the fitting routine to evaluate possible values, meant to stay compatible with alg lig

Parameters

Params

Returns

Implements GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian.

override void GrowthCurveLibrary.ExponentialFit.EvaluateSumofSquaresFunction22 ( double[]  Params, double[]  func, object  obj  )

protectedvirtual

Implements GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian.

override void GrowthCurveLibrary.ExponentialFit.EvaluateSumOfSquaresGradient ( double[]  Params, ref double  func, double[]  GradientVec, object  obj  )

protectedvirtual

Implements GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian.

override void GrowthCurveLibrary.ExponentialFit.EvaluateSumOfSquaresGradient22 ( double[]  Params, double[]  fi, double  Gradient[,], object  obj  )

protectedvirtual

Implements GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian.

override void GrowthCurveLibrary.ExponentialFit.FitModel ( )

protectedvirtual

Implements GrowthCurveLibrary.AbstractFitter.

override double GrowthCurveLibrary.ExponentialFit.FunctiontoFit ( double  x )

virtual

Implements GrowthCurveLibrary.AbstractFitter.

double GrowthCurveLibrary.ExponentialFit.GetXValueAtYValue

(

double

yValue

)

override string GrowthCurveLibrary.ExponentialFit.ToString

(

)

Member Data Documentation

TerminationType GrowthCurveLibrary.ExponentialFit.ReasonMarquadtEnded = TerminationType.NotYetSet

Property Documentation

double GrowthCurveLibrary.ExponentialFit.GrowthRate

get

double GrowthCurveLibrary.ExponentialFit.InitialPopSize

get

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The documentation for this class was generated from the following file:

• D:/Dropbox/Software/CurveFitter/GrowthCurveLibrary/ModelsAndFitting/Fitters.cs