Altaxo.Calc.Regression.Nonlinear Namespace |
[Missing <summary> documentation for "N:Altaxo.Calc.Regression.Nonlinear"]
Classes| | Class | Description |
|---|
 | ConstantVarianceScaling |
The default scaling variance returns always 1.
|
| ConstantVarianceScalingXmlSerializationSurrogate0 | |
| FitElement |
Holds the fit function together with the data sources for the independent and
dependent variables.
|
| FitEnsemble |
Holds a collection of FitElements and is responsible for parameter bundling.
|
| FitFunctionClassAttribute |
Marks a class as containing one or more static functions that create a fit function class.
|
| FitFunctionCreatorAttribute |
Marks a static function to return a new instance of a IFitFunction class.
|
| FitFunctionToScalarFunctionDDWrapper |
Wraps the fit function, storing its parameters, so that it can be used as a plot function.
|
| FitFunctionToScalarFunctionDDWrapperXmlSerializationSurrogate0 | |
| FitFunctionToScalarFunctionDDWrapperXmlSerializationSurrogate1 |
2017-01-05 Added: _independentVariableTransformation and _dependentVariableTransformation
|
| LevMarAdapter |
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.
|
| NonlinearFitDocument |
Bundles a FitEnsemble, i.e. a set of fit functions, together with the current parameters.
|
| NonlinearModelOfFitEnsemble |
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.
|
| ParameterSet |
Holds a bunch of ParameterSetElement, i.e. a collection of fit parameters together with their values.
|
| ParameterSetElement |
Holds the properties of one fit parameter, as Name, the value of the parameter Parameter, the Variance
and whether this parameter is fixed or can be varied.
|
| QuickNonlinearRegression |
Allows a quick regression of one dependent variable in dependence on one independent variable, i.e. with a function R=>R.
|
| QuickNonlinearRegressionAllocating | Obsolete.
|
| QuickNonlinearRegressionOld | Obsolete.
|
| QuickNonlinearRegressionWrappedParameters |
Allows a quick regression of one dependent variable in dependence on one independent variable, i.e. with a function R=>R.
|
| RelativeVarianceScaling |
This is a variance which scales linearly with the measured value. Useful for
functions with a broad range of y-values. Make sure that no y-value is zero.
|
| SimpleNonlinearFit |
Class for simple non linear fitting that can be used inside of scripts.
|
Interfaces Delegates 
