NMath |
The NMathFunctionsFiveParameterLogisticFtn type exposes the following members.
| Name | Description | |
|---|---|---|
| NMathFunctionsFiveParameterLogisticFtn | Initializes a new instance of the NMathFunctionsFiveParameterLogisticFtn class |
| Name | Description | |
|---|---|---|
| CentralDifferenceDelta |
Gets and sets the delta used in the centeral difference method for
approximating the gradient with respect to the parameters.
(Inherited from DoubleParameterizedFunction) |
| Name | Description | |
|---|---|---|
| Clone |
Returns a deep copy of the base. Deriving classes must override this method.
(Inherited from DoubleParameterizedFunction) | |
| Evaluate(DoubleVector, Double) |
Evaluates the five parameter logistic function for the given parameter values at the
given point.
(Overrides DoubleParameterizedFunctionEvaluate(DoubleVector, Double)) | |
| Evaluate(DoubleVector, DoubleVector, DoubleVector) |
Evaluates the parameterized function for the given parameter values at the
given set of points.
(Inherited from DoubleParameterizedFunction) | |
| GradientWithRespectToParams |
Method for calculating the gradient with respect to the parameters while keeping x
fixed at the specified value.
(Overrides DoubleParameterizedFunctionGradientWithRespectToParams(DoubleVector, Double, DoubleVector)) |
f(x) = p3 + (p0-p3)/(1 + (x/p2)^p1)^p4, where p0 is the value at 0, p1 is the slope factor, p2 is the mid-range value, p3 is the value at infinity, and p4 is the asymmetry factor.