Examples of DenseDoubleMatrix3D

cern.colt.matrix.impl.DenseDoubleMatrix3D
Dense 3-d matrix holding double elements. First see the package summary and javadoc tree view to get the broad picture.
Implementation:
Internally holds one single contigous one-dimensional array, addressed in (in decreasing order of significance): slice major, row major, column major. Note that this implementation is not synchronized.
Memory requirements:
memory [bytes] = 8*slices()*rows()*columns(). Thus, a 100*100*100 matrix uses 8 MB.
Time complexity:
O(1) (i.e. constant time) for the basic operations get, getQuick, set, setQuick and size,
Applications demanding utmost speed can exploit knowledge about the internal addressing. Setting/getting values in a loop slice-by-slice, row-by-row, column-by-column is quicker than, for example, column-by-column, row-by-row, slice-by-slice. Thus
```
 for (int slice=0; slice < slices; slice++) { for (int row=0; row < rows; row++) { for (int column=0; column < columns; column++) { matrix.setQuick(slice,row,column,someValue); }		     } } 
```
is quicker than
```
 for (int column=0; column < columns; column++) { for (int row=0; row < rows; row++) { for (int slice=0; slice < slices; slice++) { matrix.setQuick(slice,row,column,someValue); } } } 
```
@author wolfgang.hoschek@cern.ch @version 1.0, 09/24/99
org.apache.mahout.math.matrix.impl.DenseDoubleMatrix3D
@deprecated until unit tests are in place. Until this time, this class/interface is unsupported.

Examples of cern.colt.matrix.impl.DenseDoubleMatrix3D

 * @throws IllegalArgumentException if <tt>values.length != slices() || for any 0 &lt;= slice &lt; slices(): values[slice].length != rows()</tt>.
 * @throws IllegalArgumentException if <tt>for any 0 &lt;= column &lt; columns(): values[slice][row].length != columns()</tt>.
 */
public DoubleMatrix3D make(double[][][] values) {
  if (this==sparse) return new SparseDoubleMatrix3D(values);
  return new DenseDoubleMatrix3D(values);
}

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Examples of cern.colt.matrix.impl.DenseDoubleMatrix3D

/**
 * Constructs a matrix with the given shape, each cell initialized with zero.
 */
public DoubleMatrix3D make(int slices, int rows, int columns) {
  if (this==sparse) return new SparseDoubleMatrix3D(slices,rows,columns);
  return new DenseDoubleMatrix3D(slices,rows,columns);
}

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Examples of cern.colt.matrix.impl.DenseDoubleMatrix3D

 * @throws IllegalArgumentException if <tt>values.length != slices() || for any 0 &lt;= slice &lt; slices(): values[slice].length != rows()</tt>.
 * @throws IllegalArgumentException if <tt>for any 0 &lt;= column &lt; columns(): values[slice][row].length != columns()</tt>.
 */
public DoubleMatrix3D make(double[][][] values) {
  if (this==sparse) return new SparseDoubleMatrix3D(values);
  return new DenseDoubleMatrix3D(values);
}

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Examples of cern.colt.matrix.impl.DenseDoubleMatrix3D

/**
 * Constructs a matrix with the given shape, each cell initialized with zero.
 */
public DoubleMatrix3D make(int slices, int rows, int columns) {
  if (this==sparse) return new SparseDoubleMatrix3D(slices,rows,columns);
  return new DenseDoubleMatrix3D(slices,rows,columns);
}

View Full Code Here

Examples of org.apache.mahout.math.matrix.impl.DenseDoubleMatrix3D

   */
  public DoubleMatrix3D make(double[][][] values) {
    if (this == sparse) {
      return new SparseDoubleMatrix3D(values);
    }
    return new DenseDoubleMatrix3D(values);
  }

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Examples of org.apache.mahout.math.matrix.impl.DenseDoubleMatrix3D

  /** Constructs a matrix with the given shape, each cell initialized with zero. */
  public DoubleMatrix3D make(int slices, int rows, int columns) {
    if (this == sparse) {
      return new SparseDoubleMatrix3D(slices, rows, columns);
    }
    return new DenseDoubleMatrix3D(slices, rows, columns);
  }

View Full Code Here

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