BasisFunctionAggregation (OpenGamma Strata)

java.lang.Object
- com.opengamma.strata.math.impl.interpolation.BasisFunctionAggregation<T>

Type Parameters:

T - The domain type of the function (e.g. Double, double[], DoubleArray etc)

All Implemented Interfaces:

Function<T,Double>
```
public class BasisFunctionAggregation<T>
extends Object
implements Function<T,Double>
```

Constructor Summary

Constructors
Constructor Description

BasisFunctionAggregation(List<Function<T,Double>> functions, double[] weights)
Creates an instance.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Double`	`apply(T x)`
`Pair<Double,DoubleArray>`	`valueAndWeightSensitivity(T x)`	The value of the function at the given point and its sensitivity to the weights of the basis functions.
`DoubleArray`	`weightSensitivity(T x)`	The sensitivity of the value at a point x to the weights of the basis functions.

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

Methods inherited from interface java.util.function.Function
andThen, compose

- Constructor Detail
  - BasisFunctionAggregation
```
public BasisFunctionAggregation(List<Function<T,Double>> functions,
                                double[] weights)
```
    Creates an instance.
    
    Parameters:
    
    functions - the functions
    
    weights - the weights
- Method Detail
  - apply
```
public Double apply(T x)
```
    Specified by:
    
    apply in interface Function<T,Double>
  - weightSensitivity
```
public DoubleArray weightSensitivity(T x)
```
    The sensitivity of the value at a point x to the weights of the basis functions.
    
    Parameters:
    
    x - value to be evaluated
    
    Returns:
    
    sensitivity w
  - valueAndWeightSensitivity
```
public Pair<Double,DoubleArray> valueAndWeightSensitivity(T x)
```
    The value of the function at the given point and its sensitivity to the weights of the basis functions.
    
    Parameters:
    
    x - value to be evaluated
    
    Returns:
    
    value and weight sensitivity