ReductionStrategy (tensorics-core API)

Type Parameters:

C - The type of the coordinate (aka 'the dimension') which should be reduced.

T - The type of values that can be reduced by this strategy

R - The type of the values after the reduction

All Known Implementing Classes:

Averaging, InterpolatedSlicing, RootMeanSquare, Slicing, ToFunctions
```
public interface ReductionStrategy<C,T,R>
```
A strategy which reduces the one dimension (= type of coordinate) and summarizes all the values in this direction into one. Typical examples of this are, e.g. summing up one dimension, or just slicing out at one coordinate.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`default Position`	`context(Position originalContext)`
`R`	`reduce(java.util.Map<? extends C,T> inputValues, Position position)`

- Method Detail
  - reduce
```
R reduce(java.util.Map<? extends C,T> inputValues,
         Position position)
```
    Parameters:
    
    inputValues - the sub values of the tensor from which the reduction is performed
    
    position - a remaining position in the tensor for which reduction is performed
    
    Returns:
    
    the value of reduction
  - context
```
default Position context(Position originalContext)
```