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)