Class SparseVector

Method Details

• size

  public int size()

  The number of used dimensions.

  This is the total number of non-zero dimensions. It is not equal to the number of the highest indexed dimension.

  Returns:

  the number of non-zero dimensions

• put

  public void put(int dim, double value)

  Set the value at a particular dimension.

  This silently handles the case when previously there was no value at dim. It does not contract the sparse array if you set a value to zero.

  Parameters:

  dim - the dimension to alter

  value - the new value

• get

  public double get(int dim)

  Retrieve the value at dimension dim.

  Parameters:

  dim - the dimension to retrieve a value for

  Returns:

  the value at that dimension

• getDimAtIndex

  public int getDimAtIndex(int indx)

  Retrieve the dimension at a specific index.

  E.g., if the sparse vector had dimensions 5, 11, 12, 155 set to non-zero values then sv.getDimAtIndex(2) would return 12.

  Parameters:

  indx - the index

  Returns:

  the dimension stoored at that index

  Throws:

  ArrayIndexOutOfBoundsException - if index >= size.

• getValueAtIndex

  public double getValueAtIndex(int indx)

  Retrieve the value at a specific index.

  E.g., if the sparse vector contained the data 5->0.1, 11->100, 12->8.5, 155->-10 then sv.geValueAtIndex(2) would return 8.5.

  Parameters:

  indx - the index

  Returns:

  the value stoored at that index

  Throws:

  ArrayIndexOutOfBoundsException - if index >= size.

• maxIndex

  public int maxIndex()

• normalLengthVector

  public static SparseVector normalLengthVector(SparseVector v, double length)