Quick |
Allows a quick regression of one dependent variable in dependence on one independent variable, i.e. with a function R=>R.
Inheritance HierarchyNamespace: Altaxo.Calc.Regression.Nonlinear
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
SyntaxC#
public class QuickNonlinearRegression
The QuickNonlinearRegression type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | QuickNonlinearRegression | Initializes a new instance of the quick nonlinear regression class. |
Properties| Name | Description | |
|---|---|---|
 | AccuracyOrderOfNumericalDerivatives | Gets or sets the accuracy order of numerical derivatives (1..6). Default is 1. |
| DoNotAllowUsingDerivativesOfFitFunction | Gets or sets a value indicating whether or not it is allowed to use the derivatives of fit function. |
| FunctionTolerance | The stopping threshold for the function value or L2 norm of the residuals. |
| GradientTolerance | The stopping threshold for infinity norm of the relative gradient value. The relative gradient is the gradient divided by the parameter value. |
| InitialMu | Gets or sets the initial mu value (sometimes also named lambda). |
| MaximumNumberOfIterations | The maximum number of iterations. |
| MinimalRSSImprovement | Gets or sets the minimal RSS (Chi²) improvement [0, 1). If after 8 iterations the Chi² improvement is smaller than this value, the evaluation is stopped. |
| StepTolerance | The stopping threshold for L2 norm of the change of the parameters. |
| UseMethodOfTransformedParameters | Gets or sets a value indicating which nonlinear optimization method with constrained parameters is used: if false, the method with clamped steps is used; if true, the method with transformed parameters is used. If no parameter constraints are given, both methods should perform equally well. |
Methods| Name | Description | |
|---|---|---|
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| Fit(IReadOnlyListDouble, IReadOnlyListDouble, IReadOnlyListDouble, CancellationToken) | Non-linear least square fitting by the Levenberg-Marquardt algorithm. |
| Fit(IReadOnlyListDouble, IReadOnlyListDouble, IReadOnlyListDouble, IReadOnlyListBoolean, CancellationToken) | Non-linear least square fitting by the Levenberg-Marquardt algorithm. |
| Fit(IReadOnlyListDouble, IReadOnlyListDouble, IReadOnlyListDouble, IReadOnlyListNullableDouble, IReadOnlyListNullableDouble, IReadOnlyListDouble, IReadOnlyListBoolean, CancellationToken, ActionInt32, Double, IReadOnlyListDouble) | Non-linear least square fitting by the Levenberg-Marquardt algorithm. |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
See Also