java.lang.Object
- org.tensorics.core.tensor.resample.MultiDimensionalResampling<V>

Type Parameters:

V - the type of the tensor values to resample
```
public class MultiDimensionalResampling<V>
extends java.lang.Object
```
Combines several one-dimensional resamplers and creates the fully resampled object from them. The final resampling is created by chaining pairs of dimension+resamplers like:
```
 
 MultiDimensionalResampling<V> resampling = MultiDimensionalResampling.resample(Coord1.class, coord1Resampler)
                                                                      .then(Coord2.class, coord2Resampler)
                                                                      [...];
 
 
```
Note: The order is very relevant here!
The actual resampled object can finally be created by calling te resample(Tensor) method.
See Also:

resample(Class, SingleDimensionResampler), then(Class, SingleDimensionResampler)

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static <C,V> MultiDimensionalResampling<V>`	`resample(java.lang.Class<C> dimension, SingleDimensionResampler<C,V> resampler)`	Starting point for chaining several dimensino-resampler pairs.
`Tensoric<V>`	`resample(Tensor<V> original)`	Produces a resampled tensoric object out of the given tensor, by applying the resamplers configured in `this` object.
`<C> MultiDimensionalResampling<V>`	`then(java.lang.Class<C> dimension, SingleDimensionResampler<C,V> dimensionComparator)`	Creates a new instance of a multidimensional resamplings, containing the resamplers from `this` multidimensional resampling plus the given one.

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

- Method Detail
  - resample
```
public static final <C,V> MultiDimensionalResampling<V> resample(java.lang.Class<C> dimension,
                                                                       SingleDimensionResampler<C,V> resampler)
```
    Starting point for chaining several dimensino-resampler pairs.
    
    Parameters:
    
    dimension - the dimension for which the given resampler shall be applied.
    
    resampler - the resampler to apply for the given dimension
    
    Returns:
    
    a new (immutable) multidimensional resampling, with exactly one dimension resampled
    
    Throws:
    
    java.lang.NullPointerException - if one of the given arguments is null
  - then
```
public final <C> MultiDimensionalResampling<V> then(java.lang.Class<C> dimension,
                                                    SingleDimensionResampler<C,V> dimensionComparator)
```
    Creates a new instance of a multidimensional resamplings, containing the resamplers from this multidimensional resampling plus the given one.
    
    Parameters:
    
    dimension - the dimension for which the given resampler shall be used
    
    dimensionComparator - the resampler which shall be used for the given dimension
    
    Returns:
    
    a new multidimensional resampling object, containing all the resamplers of this object plus the given one.
  - resample
```
public Tensoric<V> resample(Tensor<V> original)
```
    Produces a resampled tensoric object out of the given tensor, by applying the resamplers configured in this object.
    
    Parameters:
    
    original - the tensor on which the resampling shall be applied
    
    Returns:
    
    a tensoric object, created from the given original tensor with all the resamplers applied

Class MultiDimensionalResampling<V>

Method Summary

Methods inherited from class java.lang.Object

Method Detail

resample

then

resample