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## de.jstacs.algorithms.graphs.tensor
Class SubTensor

    java.lang.Object
      de.jstacs.algorithms.graphs.tensor.Tensor
          de.jstacs.algorithms.graphs.tensor.SubTensor

    public class SubTensor

extends Tensor

This Tensor can be used to extract or use only a part of a complete `Tensor`.

Author:
  Jens Keilwagen

Field Summary

Fields inherited from class de.jstacs.algorithms.graphs.tensor.Tensor
`L, order, powers`

Constructor Summary
`SubTensor(Tensor t, int offset, int length)` This constructor creates a `SubTensor` using the `Tensor` `t` for the nodes `offset, offset+1, ..., offset+length-1`.

Method Summary
`int[]` | `getMaximalEdgeFor(byte k, int child, int... parents)` Returns the edge `permute(parents[0],...`
`double` | `getRootValue(int child)` Returns the value for `child` as root.
`double` | `getValue(byte k, int child, int... parents)` Returns the value for the edge `parents[0],...`
`void` | `resetValue(byte k, int child, int... parents)` Sets the value for the edge `parents[0],...`
`void` | `setRootValue(int child, double val)` Sets the value `val` for the root node `child`.
`void` | `setValue(byte k, double val, int child, int... parents)` Sets the value for the edge `parents[0],...`

Methods inherited from class de.jstacs.algorithms.graphs.tensor.Tensor
`getAsymIndex, getNumberOfNodes, getOrder, readTensorFromFile, toDouble3DArray, writeTensorToFile`

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

Constructor Detail

### SubTensor

    public SubTensor(Tensor t,
                     int offset,
                     int length)

  This constructor creates a `SubTensor` using the `Tensor` `t` for the nodes `offset, offset+1, ..., offset+length-1`.

  Parameters:
    `t` - the underlying `Tensor`
    `offset` - the offset in the nodes, i.e., all nodes smaller than `offset` will not be used
    `length` - the number of nodes which will be used starting at `offset`

Method Detail

### getMaximalEdgeFor

    public int[] getMaximalEdgeFor(byte k,
                                   int child,
                                   int... parents)

  Description copied from class: `Tensor`
  Returns the edge `permute(parents[0],...,parents[k-1]) -> child` that maximizes the score.

  Specified by:
    `getMaximalEdgeFor` in class `Tensor`
  Parameters:
    `k` - the number of parents to be used
    `child` - the child node
    `parents` - the parent nodes (only the first `k` will be used)
  Returns:
    the edge `permute(parents[0],...,parents[k-1]) -> child` that maximizes the score

### getRootValue

    public double getRootValue(int child)

  Description copied from class: `Tensor`
  Returns the value for `child` as root.

  Specified by:
    `getRootValue` in class `Tensor`
  Parameters:
    `child` - the name of the node
  Returns:
    the value for the node

### getValue

    public double getValue(byte k,
                           int child,
                           int... parents)

  Description copied from class: `Tensor`
  Returns the value for the edge `parents[0],...,parents[k-1] -> child`.

  Specified by:
    `getValue` in class `Tensor`
  Parameters:
    `k` - the number of parents to be used
    `child` - the child node
    `parents` - the parent nodes (only the first `k` will be used)
  Returns:
    the value for the edge `parents[0],...,parents[k-1] -> child`

### resetValue

    public void resetValue(byte k,
                           int child,
                           int... parents)

  Description copied from class: `Tensor`
  Sets the value for the edge `parents[0],...,parents[k-1] -> child` to `Double.NEGATIVE_INFINITY`.

  Specified by:
    `resetValue` in class `Tensor`
  Parameters:
    `k` - the number of parents to be used
    `child` - the child node
    `parents` - the parent nodes (only the first `k` will be used)

### setRootValue

    public void setRootValue(int child,
                             double val)

  Description copied from class: `Tensor`
  Sets the value `val` for the root node `child`.

  Specified by:
    `setRootValue` in class `Tensor`
  Parameters:
    `child` - the name of the node
    `val` - the value for the node

### setValue

    public void setValue(byte k,
                         double val,
                         int child,
                         int... parents)

  Description copied from class: `Tensor`
  Sets the value for the edge `parents[0],...,parents[k-1] -> child`.

  Specified by:
    `setValue` in class `Tensor`
  Parameters:
    `k` - the number of parents to be used
    `val` - the new value
    `child` - the child node
    `parents` - the parent nodes (only the first `k` will be used)

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