/**
* Compute the sum of this matrix and {@code m}.
*
* @param m Matrix to be added.
* @return {@code this} + {@code m}.
* @throws MatrixDimensionMismatchException if {@code m} is not the same
* size as {@code this}.
*/
public OpenMapRealMatrix add(OpenMapRealMatrix m)
{
//MatrixUtils.checkAdditionCompatible(this, m);
OpenMapRealMatrix @out = new OpenMapRealMatrix(this);
for (OpenIntToDoubleHashMap.Iterator iterator = m.entries.iterator(); iterator.hasNext();)
{
iterator.advance();
int row = iterator.key() / columns;
int col = iterator.key() - row * columns;
@out.setEntry(row, col, getEntry(row, col) + iterator.value());
}
return(@out);
}
/**
* {@inheritDoc}
*
* @throws NumberIsTooLargeException if {@code m} is an
* {@code OpenMapRealMatrix}, and the total number of entries of the product
* is larger than {@code Integer.MAX_VALUE}.
*/
public override RealMatrix multiply(RealMatrix m)
{
try {
return(multiply((OpenMapRealMatrix)m));
} catch (InvalidCastException cce) {
//MatrixUtils.checkMultiplicationCompatible(this, m);
int outCols = m.getColumnDimension();
BlockRealMatrix @out = new BlockRealMatrix(rows, outCols);
for (OpenIntToDoubleHashMap.Iterator iterator = entries.iterator(); iterator.hasNext();)
{
iterator.advance();
double value = iterator.value();
int key = iterator.key();
int i = key / columns;
int k = key % columns;
for (int j = 0; j < outCols; ++j)
{
@out.addToEntry(i, j, value * m.getEntry(k, j));
}
}
return(@out);
}
}
/**
* Postmultiply this matrix by {@code m}.
*
* @param m Matrix to postmultiply by.
* @return {@code this} * {@code m}.
* @throws DimensionMismatchException if the number of rows of {@code m}
* differ from the number of columns of {@code this} matrix.
* @throws NumberIsTooLargeException if the total number of entries of the
* product is larger than {@code Integer.MAX_VALUE}.
*/
public OpenMapRealMatrix multiply(OpenMapRealMatrix m)
{
// Safety check.
//MatrixUtils.checkMultiplicationCompatible(this, m);
int outCols = m.getColumnDimension();
OpenMapRealMatrix @out = new OpenMapRealMatrix(rows, outCols);
for (OpenIntToDoubleHashMap.Iterator iterator = entries.iterator(); iterator.hasNext();)
{
iterator.advance();
double value = iterator.value();
int key = iterator.key();
int i = key / columns;
int k = key % columns;
for (int j = 0; j < outCols; ++j)
{
int rightKey = m.computeKey(k, j);
if (m.entries.containsKey(rightKey))
{
int outKey = @out.computeKey(i, j);
double outValue =
@out.entries.get(outKey) + value * m.entries.get(rightKey);
if (outValue == 0.0)
{
@out.entries.remove(outKey);
}
else
{
@out.entries.put(outKey, outValue);
}
}
}
}
return(@out);
}
