Generalized |
public class GeneralizedLogisticDecreasing : IFitFunctionWithDerivative, IFitFunction, IImmutable
The GeneralizedLogisticDecreasing type exposes the following members.
Name | Description | |
---|---|---|
![]() | GeneralizedLogisticDecreasing | Initializes a new instance of the GeneralizedLogisticDecreasing class with NumberOfTerms=1, and OrderOfBackgroundPolynomial=0. |
![]() | GeneralizedLogisticDecreasing(Int32, Int32) | Initializes a new instance of the GeneralizedLogisticDecreasing class. |
Name | Description | |
---|---|---|
![]() | NumberOfDependentVariables | Number of dependent variables (i.e. y, in Altaxo this is commonly called v (like value)). |
![]() | NumberOfIndependentVariables | Number of independent variables (i.e. x). |
![]() | NumberOfParameters | Number of parameters of this fit function. |
![]() | NumberOfTerms | Gets the number of logistic step terms. |
![]() | OrderOfBackgroundPolynomial | Gets the order of the background polynomial. |
Name | Description | |
---|---|---|
![]() ![]() | Create_1_0 | Creates a new instance of the GeneralizedLogisticDecreasing class, with NumberOfTerms=1 and OrderOfBackgroundPolynomial=0. |
![]() | DefaultParameterValue | Returns a default parameter value. You must ensure that the fit function would generate values with those default parameters. |
![]() | DefaultVarianceScaling | |
![]() | DependentVariableName | Returns the ith dependent variable name. |
![]() | Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
![]() | Evaluate(Double, Double, Double) | This evaluates a function value. |
![]() | Evaluate(IROMatrixDouble, IReadOnlyListDouble, IVectorDouble, IReadOnlyListBoolean) | |
![]() | EvaluateDerivative | This evaluates the gradient of the function with respect to the parameters. |
![]() | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
![]() | GetHashCode | Serves as the default hash function. (Inherited from Object) |
![]() | GetParameterBoundariesHardLimit | Gets the parameter boundaries that are really a hard limit, i.e. outside those limits, the function would probably evaluate NaN values, or makes no sense. |
![]() | GetParameterBoundariesSoftLimit | Gets the intended parameter boundaries. This are soft limits, boundaries so that the intended purpose of the fit function is fullfilled. Example: in the exponential decay Exp(-a*t) a is intended to be positive. This is a soft limit, and not a hard limit, because a could be also negative, and the fit nevertheless would succeed. |
![]() | GetType | Gets the Type of the current instance. (Inherited from Object) |
![]() | IndependentVariableName | Returns the ith independent variable name. |
![]() | MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
![]() | ParameterName | Returns the ith parameter name. |
![]() | ToString | Returns a string that represents the current object. (Inherited from Object) |
![]() | WithNumberOfTerms | Creates a new instance with the provided number of logistic step terms. |
![]() | WithOrderOfBackgroundPolynomial | Creates a new instance with the provided order of the background polynomial. |