IObjectiveModelNonAllocating Interface

Extends the IObjectiveModel, helping not to allocate memory during execution of Levenberg-Marquardt.

Namespace: Altaxo.Calc.Optimization
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)

Syntax

public interface IObjectiveModelNonAllocating : IObjectiveModel, 
	IObjectiveModelEvaluation

The IObjectiveModelNonAllocating type exposes the following members.

Properties

	Name	Description
	DegreeOfFreedom	Get the degree of freedom. (Inherited from IObjectiveModelEvaluation)
	FunctionEvaluations	Get the number of calls to function. (Inherited from IObjectiveModelEvaluation)
	Gradient	Get the Gradient vector. G = J'(y - f(x; p)) (Inherited from IObjectiveModelEvaluation)
	Hessian	Get the approximated Hessian matrix. H = J'J (Inherited from IObjectiveModelEvaluation)
	IsFixedByUserOrBoundary	Array of the same length as the parameter array. If an element in this vector is true, that parameter is either fixed by the user, or it is fixed because the corresponding parameter has reached a boundary. This array will be updated only at the end of the minimization process.
	IsGradientSupported	(Inherited from IObjectiveModelEvaluation)
	IsHessianSupported	(Inherited from IObjectiveModelEvaluation)
	JacobianEvaluations	Get the number of calls to jacobian. (Inherited from IObjectiveModelEvaluation)
	ModelValues	Get the y-values of the fitted model that correspond to the independent values. (Inherited from IObjectiveModelEvaluation)
	NegativeGradient	Get the negative gradient vector. -G = -J'(y - f(x; p))
	ObservedY	Get the y-values of the observations. (Inherited from IObjectiveModelEvaluation)
	Point	Get the values of the parameters. (Inherited from IObjectiveModelEvaluation)
	Value	Get the residual sum of squares. (Inherited from IObjectiveModelEvaluation)
	Weights	Get the values of the weights for the observations. (Inherited from IObjectiveModelEvaluation)

Methods

	Name	Description
	CreateNew	(Inherited from IObjectiveModelEvaluation)
	EvaluateAt(IReadOnlyListDouble)	Evaluates the model with the given parameter set. The resulting Chi² value (i.e. the sum of squares of deviations between data and fitmodel) can be accessed with Value.
	EvaluateAt(VectorDouble)	(Inherited from IObjectiveModel)
	Fork	(Inherited from IObjectiveModel)
	SetParameters(IReadOnlyListDouble, IReadOnlyListBoolean)	Sets the initial parameters, and the information, if some of the parameters are fixed.
	SetParameters(VectorDouble, ListBoolean)	(Inherited from IObjectiveModel)
	ToObjectiveFunction	(Inherited from IObjectiveModel)