ParameterizedCurve (OpenGamma Strata)

java.lang.Object
- com.opengamma.strata.math.impl.function.ParameterizedFunction<Double,DoubleArray,Double>
- - com.opengamma.strata.math.impl.function.ParameterizedCurve

```
public abstract class ParameterizedCurve
extends ParameterizedFunction<Double,DoubleArray,Double>
```
A parameterised curve that gives the both the curve (the function y=f(x) where x and y are scalars) and the curve sensitivity (dy/dp where p is one of the parameters) for given parameters.

Constructor Summary

Constructors
Constructor Description

ParameterizedCurve()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Function<Double,DoubleArray>`	`getYParameterSensitivity(DoubleArray params)`	For a scalar function (curve) that can be written as $y=f(x;\boldsymbol{\theta})$ where x & y are scalars and $\boldsymbol{\theta})$ is a vector of parameters (i.e.

Methods inherited from class com.opengamma.strata.math.impl.function.ParameterizedFunction
asFunctionOfArguments, asFunctionOfParameters, evaluate, getNumberOfParameters

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - ParameterizedCurve
```
public ParameterizedCurve()
```
- Method Detail
  - getYParameterSensitivity
```
public Function<Double,DoubleArray> getYParameterSensitivity(DoubleArray params)
```
    For a scalar function (curve) that can be written as $y=f(x;\boldsymbol{\theta})$ where x & y are scalars and $\boldsymbol{\theta})$ is a vector of parameters (i.e. $x,y \in \mathbb{R}$ and $\boldsymbol{\theta} \in \mathbb{R}^n$) this returns the function $g : \mathbb{R} \to \mathbb{R}^n; x \mapsto g(x)$, which is the function's (curve's) sensitivity to its parameters, i.e. $g(x) = \frac{\partial f(x;\boldsymbol{\theta})}{\partial \boldsymbol{\theta}}$
    The default calculation is performed using finite difference (via ScalarFieldFirstOrderDifferentiator) but it is expected that this will be overridden by concrete subclasses.
    
    Parameters:
    
    params - the value of the parameters ($\boldsymbol{\theta}$) at which the sensitivity is calculated
    
    Returns:
    
    the sensitivity as a function with a Double (x) as its single argument and a vector as its return value