## Class 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
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