DoubleMatrixDataDense.java
package org.djunits.value.vdouble.matrix;
import java.util.stream.IntStream;
import org.djunits.value.StorageType;
import org.djunits.value.ValueException;
import org.djunits.value.vdouble.DoubleFunction;
/**
* Stores dense data for a DoubleMatrix and carries out basic operations.
* <p>
* Copyright (c) 2013-2018 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved. <br>
* BSD-style license. See <a href="http://opentrafficsim.org/docs/license.html">OpenTrafficSim License</a>.
* </p>
* $LastChangedDate: 2015-07-24 02:58:59 +0200 (Fri, 24 Jul 2015) $, @version $Revision: 1147 $, by $Author: averbraeck $,
* initial version Oct 3, 2015 <br>
* @author <a href="http://www.tbm.tudelft.nl/averbraeck">Alexander Verbraeck</a>
* @author <a href="http://www.tudelft.nl/pknoppers">Peter Knoppers</a>
*/
public class DoubleMatrixDataDense extends DoubleMatrixData
{
/**
* Create a matrix with dense data.
* @param matrixSI the data to store
* @param rows the number of rows
* @param cols the number of columns
* @throws ValueException in case <tt>rows * cols != matrixSI.length</tt>
*/
public DoubleMatrixDataDense(final double[] matrixSI, final int rows, final int cols) throws ValueException
{
super(StorageType.DENSE);
if (rows * cols != matrixSI.length)
{
throw new ValueException("DoubleMatrixDataDense constructor, rows * cols != matrixSI.length");
}
this.matrixSI = new double[matrixSI.length];
System.arraycopy(matrixSI, 0, this.matrixSI, 0, matrixSI.length);
this.rows = rows;
this.cols = cols;
}
/**
* Create a matrix with dense data.
* @param matrixSI the data to store
* @throws ValueException in case matrix is ragged
*/
public DoubleMatrixDataDense(final double[][] matrixSI) throws ValueException
{
super(StorageType.DENSE);
if (matrixSI == null || matrixSI.length == 0)
{
throw new ValueException("DoubleMatrixDataDense constructor, matrixSI == null || matrixSI.length == 0");
}
this.rows = matrixSI.length;
this.cols = matrixSI[0].length;
this.matrixSI = new double[this.rows * this.cols];
for (int r = 0; r < this.rows; r++)
{
double[] row = matrixSI[r];
if (row.length != this.cols)
{
throw new ValueException("DoubleMatrixDataDense constructor, ragged matrix");
}
System.arraycopy(row, 0, this.matrixSI, r * this.cols, row.length);
}
}
/**
* @param doubleFunction the function to apply on the (mutable) data elements
*/
public final void assign(final DoubleFunction doubleFunction)
{
IntStream.range(0, this.rows() * this.cols()).parallel()
.forEach(i -> this.matrixSI[i] = doubleFunction.apply(this.matrixSI[i]));
}
/** {@inheritDoc} */
@Override
public final DoubleMatrixDataSparse toSparse()
{
int length = cardinality();
double[] sparseSI = new double[length];
long[] indices = new long[length];
int count = 0;
for (int r = 0; r < this.rows; r++)
{
for (int c = 0; c < this.cols; c++)
{
int index = r * this.cols + c;
if (this.matrixSI[index] != 0.0)
{
sparseSI[count] = this.matrixSI[index];
indices[count] = index;
count++;
}
}
}
return new DoubleMatrixDataSparse(sparseSI, indices, this.matrixSI.length, this.rows, this.cols);
}
/** {@inheritDoc} */
@Override
public final double getSI(final int row, final int col)
{
return this.matrixSI[row * this.cols + col];
}
/** {@inheritDoc} */
@Override
public final void setSI(final int row, final int col, final double valueSI)
{
this.matrixSI[row * this.cols + col] = valueSI;
}
/** {@inheritDoc} */
@Override
public final double[][] getDenseMatrixSI()
{
double[][] matrix = new double[this.rows][];
for (int r = 0; r < this.rows; r++)
{
double[] row = new double[this.cols];
System.arraycopy(this.matrixSI, r * this.cols, row, 0, row.length);
matrix[r] = row;
}
return matrix;
}
/** {@inheritDoc} */
@Override
public final DoubleMatrixDataDense copy()
{
try
{
return new DoubleMatrixDataDense(getDenseMatrixSI());
}
catch (ValueException exception)
{
throw new RuntimeException(exception); // should not happen -- original is not ragged...
}
}
/** {@inheritDoc} */
@Override
public final void incrementBy(final DoubleMatrixData right) throws ValueException
{
IntStream.range(0, this.rows).parallel().forEach(
r -> IntStream.range(0, this.cols).forEach(c -> this.matrixSI[r * this.cols + c] += right.getSI(r, c)));
}
/** {@inheritDoc} */
@Override
public final void decrementBy(final DoubleMatrixData right) throws ValueException
{
IntStream.range(0, this.rows).parallel().forEach(
r -> IntStream.range(0, this.cols).forEach(c -> this.matrixSI[r * this.cols + c] -= right.getSI(r, c)));
}
/** {@inheritDoc} */
@Override
public final void multiplyBy(final DoubleMatrixData right) throws ValueException
{
IntStream.range(0, this.rows).parallel().forEach(
r -> IntStream.range(0, this.cols).forEach(c -> this.matrixSI[r * this.cols + c] *= right.getSI(r, c)));
}
/** {@inheritDoc} */
@Override
public final void divideBy(final DoubleMatrixData right) throws ValueException
{
IntStream.range(0, this.rows).parallel().forEach(
r -> IntStream.range(0, this.cols).forEach(c -> this.matrixSI[r * this.cols + c] /= right.getSI(r, c)));
}
}