org.apache.commons.math3.analysis.function

## Class Logistic

• ### Nested Class Summary

Nested Classes
Modifier and Type Class and Description
`static class ` `Logistic.Parametric`
Parametric function where the input array contains the parameters of the logit function, ordered as follows: Lower asymptote Higher asymptote
• ### Constructor Summary

Constructors
Constructor and Description
```Logistic(double k, double m, double b, double q, double a, double n)```
• ### Method Summary

Methods
Modifier and Type Method and Description
`UnivariateFunction` `derivative()`
Returns the derivative of the function
`double` `value(double x)`
Compute the value of the function.
• ### Methods inherited from class java.lang.Object

`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`
• ### Constructor Detail

• #### Logistic

```public Logistic(double k,
double m,
double b,
double q,
double a,
double n)```
Parameters:
`k` - If `b > 0`, value of the function for x going towards +∞. If `b < 0`, value of the function for x going towards -∞.
`m` - Abscissa of maximum growth.
`b` - Growth rate.
`q` - Parameter that affects the position of the curve along the ordinate axis.
`a` - If `b > 0`, value of the function for x going towards -∞. If `b < 0`, value of the function for x going towards +∞.
`n` - Parameter that affects near which asymptote the maximum growth occurs.
Throws:
`NotStrictlyPositiveException` - if `n <= 0`.
• ### Method Detail

• #### value

`public double value(double x)`
Compute the value of the function.
Specified by:
`value` in interface `UnivariateFunction`
Parameters:
`x` - Point at which the function value should be computed.
Returns:
the value of the function.
• #### derivative

`public UnivariateFunction derivative()`
Returns the derivative of the function
Specified by:
`derivative` in interface `DifferentiableUnivariateFunction`
Returns:
the derivative function