Nonlinear |
Adapts a FitEnsemble to the requirements of a Levenberg-Marquardt fitting procedure.
This means, the adapter makes the FitEnsemble compatible with the Levenberg-Marquardt algorithm.
Inheritance HierarchySystemObject
Altaxo.Calc.Optimization.ObjectiveFunctionsNonlinearObjectiveFunctionNonAllocatingBase
Altaxo.Calc.Regression.NonlinearNonlinearModelOfFitEnsemble
Altaxo.Calc.Optimization.ObjectiveFunctionsNonlinearObjectiveFunctionNonAllocatingBase
Altaxo.Calc.Regression.NonlinearNonlinearModelOfFitEnsemble
Namespace: Altaxo.Calc.Regression.Nonlinear
Assembly: AltaxoBase (in AltaxoBase.dll) Version: 4.8.3448.0 (4.8.3448.0)
SyntaxC#
public class NonlinearModelOfFitEnsemble : NonlinearObjectiveFunctionNonAllocatingBase
The NonlinearModelOfFitEnsemble type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | NonlinearModelOfFitEnsemble | Constructor of the adapter. |
Properties| Name | Description | |
|---|---|---|
 | DegreeOfFreedom |
Gets the degrees of freedom.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| FunctionEvaluations |
Gets or sets the number of calls to the objective function.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| Gradient |
Gets the gradient vector. G = J'(y - f(x; p)).
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| Hessian |
Gets the approximated Hessian matrix. H = J'J.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| IsFixedByUser |
Gets whether parameters are fixed or free (by the user).
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| IsFixedByUserOrBoundary |
Gets or sets an array of the same length as the parameter array.
If an element in this vector is , that parameter is either fixed by the user or fixed because the corresponding parameter has reached a boundary.
This array is updated only at the end of the minimization process.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| IsGradientSupported |
Gets a value indicating whether the gradient can be provided by the model.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| IsHessianSupported |
Gets a value indicating whether the Hessian can be provided by the model.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| JacobianEvaluations |
Gets or sets the number of calls to the Jacobian.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| ModelValues |
Gets the y-values of the fitted model that correspond to the independent values.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| NegativeGradient |
Gets the negative gradient vector. -G = -J'(y - f(x; p)).
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| NumberOfObservations |
Gets the number of observations.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| NumberOfParameters |
Gets the number of unknown parameters.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| ObservedY |
Gets the y-values of the observations.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| Point |
Gets the values of the parameters.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| SigmaSquare |
Gets Chi²/(N-F+1).
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| Value |
Gets the residual sum of squares.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| Weights |
Gets or sets the values of the weights for the observations.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
Methods| Name | Description | |
|---|---|---|
| CopyParametersBackTo | |
| CopyParametersForFitElement | Copies the current parameters for the fit element with the provided index into the provided array. |
| CreateNew | (Overrides NonlinearObjectiveFunctionNonAllocatingBaseCreateNew) |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| EvaluateAt(IReadOnlyListDouble) |
Evaluates the model at the given parameter vector and invalidates cached dependent values.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| EvaluateAt(VectorDouble) |
Evaluates the model at the given parameter vector, updating dependent values.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
 | EvaluateFunction | (Overrides NonlinearObjectiveFunctionNonAllocatingBaseEvaluateFunction) |
| EvaluateJacobian | (Overrides NonlinearObjectiveFunctionNonAllocatingBaseEvaluateJacobian) |
| EvaluateModelValues(VectorDouble, Boolean) | Calculates the fitting values. |
| EvaluateModelValues(IReadOnlyListDouble, VectorDouble, Boolean) | Calculates the fitting values. |
| Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| Fork | (Overrides NonlinearObjectiveFunctionNonAllocatingBaseFork) |
| GetDependentVariablesInUse | Returns the array of indices of dependent variables that are currently in use (i.e. associated with a data column). |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| GetValidNumericRows | Returns the collection of valid numeric rows for the given fit element. |
| GetWeights | Stores the weights for the fit differences in an array. The data are stored from FitElement_0 to FitElement_n. For FitElements with more than one dependent variable in use, the data are stored interleaved. |
| HasToUseWeights | Returns true if any of the fit elements use scaling weights. In this case we have to calculate the weights for all fit elements and include them in the fitting procedures. |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| NumericalJacobian | (Overrides NonlinearObjectiveFunctionNonAllocatingBaseNumericalJacobian(VectorDouble, VectorDouble, Int32)) |
| SetParameters(IReadOnlyListDouble, IReadOnlyListBoolean) |
Sets model parameters and optional fixed flags for individual parameters.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| SetParameters(VectorDouble, ListBoolean) |
Sets the model parameters and optional fixed flags for individual parameters.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| ToObjectiveFunction |
Converts this model to an objective function suitable for minimizers.
(Inherited from NonlinearObjectiveFunctionNonAllocatingBase) |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
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See Also