Altaxo.Calc.Regression.Nonlinear Namespace |
[Missing <summary> documentation for "N:Altaxo.Calc.Regression.Nonlinear"]
Classes| | Class | Description |
|---|
 | ConstantVarianceScaling |
Variance scaling that returns a constant weight (by default, 1) for all data points.
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| ConstantVarianceScalingXmlSerializationSurrogate0 | |
| FitElement |
Holds the fit function together with the data sources for the independent and
dependent variables.
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| 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 that returns a new instance of an IFitFunction class.
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| FitFunctionToScalarFunctionDDWrapper |
Wraps the fit function, storing its parameters, so that it can be used as a plot function.
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| 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.
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| NonlinearFitDocument |
Bundles a FitEnsemble, i.e. a set of fit functions, together with the current parameters.
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| 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.
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| ParameterSetElement |
Holds the properties of one fit parameter, such 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.
Provides a quick nonlinear regression for one dependent variable as a function of one independent variable.
|
| QuickNonlinearRegressionOld | Obsolete.
Legacy implementation of a quick nonlinear regression for one dependent variable in dependence on one independent variable.
|
| QuickNonlinearRegressionWrappedParameters |
Allows a quick regression of one dependent variable in dependence on one independent variable,
i.e. with a function R => R.
|
| RelativeVarianceScaling |
Variance scaling where the variance scales linearly with the measured value.
|
| SimpleNonlinearFit |
Class for simple non linear fitting that can be used inside of scripts.
|
Interfaces | | Interface | Description |
|---|
 | IFitFunction |
Represents the interface to a fitting function.
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| IFitFunctionWithDerivative |
Extends IFitFunction with the ability to evaluate the derivative (gradient)
of the fit function with respect to its parameters for a set of independent variable rows.
|
| IVarianceScaling |
Interface defining how to scale the differences between real quantities (dependent variables)
and fitted values.
|
Delegates 
