ParameterLimitsTransform (OpenGamma Strata)

All Known Implementing Classes:

DoubleRangeLimitTransform, NullTransform, SingleRangeLimitTransform
```
public interface ParameterLimitsTransform
```
Interface for objects containing functions that can transform constrained model parameters into unconstrained fitting parameters and vice versa. It also provides functions that will provide the gradient of the functions that perform these transformations. Let y be the model parameter and yStar the transformed (fitting) parameter, then we write y* = f(y)

Nested Class Summary

Nested Classes
Modifier and Type Interface Description

static class ParameterLimitsTransform.LimitType
Types of the limits.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`double`	`inverseTransform(double y)`	A function to transform an unconstrained fitting parameter (y*) to a constrained model parameter (y) - i.e.
`double`	`inverseTransformGradient(double y)`	The gradient of the function used to transform from a fitting parameter that can take any value, to a model parameter that is only allows to take certain values.
`double`	`transform(double x)`	A function to transform a constrained model parameter (y) to an unconstrained fitting parameter (y*) - i.e.
`double`	`transformGradient(double x)`	The gradient of the function used to transform from a model parameter that is only allows to take certain values, to a fitting parameter that can take any value.

- Method Detail
  - transform
```
double transform(double x)
```
    A function to transform a constrained model parameter (y) to an unconstrained fitting parameter (y*) - i.e. y* = f(y)
    
    Parameters:
    
    x - Model parameter
    
    Returns:
    
    Fitting parameter
  - inverseTransform
```
double inverseTransform(double y)
```
    A function to transform an unconstrained fitting parameter (y*) to a constrained model parameter (y) - i.e. y = f^-1(y*)
    
    Parameters:
    
    y - Fitting parameter
    
    Returns:
    
    Model parameter
  - transformGradient
```
double transformGradient(double x)
```
    The gradient of the function used to transform from a model parameter that is only allows to take certain values, to a fitting parameter that can take any value.
    
    Parameters:
    
    x - Model parameter
    
    Returns:
    
    the gradient
  - inverseTransformGradient
```
double inverseTransformGradient(double y)
```
    The gradient of the function used to transform from a fitting parameter that can take any value, to a model parameter that is only allows to take certain values.
    
    Parameters:
    
    y - fitting parameter
    
    Returns:
    
    the gradient